About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End to End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API based architectures and cloud hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
22/07/2026
Full time
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End to End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API based architectures and cloud hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
At Great Yellow we're looking for a Senior Data Platform Engineer to join our team. About Great Yellow Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative land-use investable and scalable, helping businesses, investors, and land managers move from intention to investable action. We're proving it in the UK on landmark landscape recovery projects, with proprietary natural capital valuation models and a growing team of advisors, project managers, ecological experts, engineers, and product thinkers. Our vision continues to grow: any enterprise, anywhere, running a regenerative land-use programme at scale, on our platform. We're building the intelligence layer that will fundamentally reshape how land-use decisions are made, financed and scaled, toward a world where those decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. This is a system designed not just to analyse the world, but to actively coordinate regenerative land-use across landscapes, supply chains and asset classes. We're a small, early-stage technical team inside a wider commercial business. We ship fast, validate, and iterate. About the Role We're looking for a senior engineer to design, build, and own the data pipelines and data architecture that feed both our customer-facing platform and our internal teams, and who has the software-engineering range to jump in alongside our product engineers when the work calls for it. This is a hands on role reporting to the Head of Engineering. The volume of work isn't the challenge, the variety is. Over the next 6-12 months we expect to stand up many pipelines across very different data shapes, from statutory BNG and carbon datasets to live environmental sensor feeds and investor data products. You'll be the person who can look at a new source, pick the right pattern for it, build it, and know when and where it will strain. You'll thrive here if you like owning a work-stream end-to-end: design doc to production to iteration, without needing the thinking done for you. You're equally comfortable shaping architecture and getting your hands dirty in the code. What you'll do Design and own our data pipelines. Build and maintain robust ETL workflows across a deliberately diverse set of sources. The three dominant shapes we see today are: unifying and normalising data into a relational store with proper versioning and lineage; polling an external API and landing it as a Hive-partitioned Parquet dataset; storing document blobs and their metadata via a document-management approach. There will be many more shapes; your job is to choose the right one each time rather than force-fit a single pattern. Make sound architecture calls. Understand the difference between operational and analytical layers and design right-sized infrastructure that scales with us over time. Our focus is variety, not big data. Know which patterns suit which problems, when a new tool genuinely earns its place, and when it doesn't. Engage directly with the source. Work with subject-matter experts across the business to understand what the data means before you model it. Build for reliability. Put the hooks, monitoring, and KPIs in place to know how a pipeline is performing, where its limits are, and when it's degrading, before someone else notices. Contribute to the platform. Pair with our Senior Software Developer on the customer-facing product (currently a lean, Cloudflare-native TypeScript / React stack in a monorepo). Critique designs, raise the bar, and help us build features that are well-tested and built to last. Use AI as a lever, not a crutch. We expect strong day-to-day fluency with AI-assisted development: planning, refactoring, reviewing, catching bugs and security issues, moving faster as a small team. But we need a senior who can architect and build from first principles, not someone who leans on the tools to paper over gaps. Help shape what's next. We're not event-driven today, but that's a likely direction. You'll have real influence over the stack and the standards as the team grows. What we're looking for Data engineering depth. Demonstrable experience designing, building, and maintaining production data pipelines across heterogeneous sources, strong SQL and data-modelling skills, and real ELT/ETL experience (e.g. with tools such as dbt or similar). Architectural judgement. You can reason about operational vs analytical layers, data lake / warehouse patterns, versioning and lineage, and right-sizing infrastructure for a variety-first (not volume-first) problem. Software-engineering fundamentals. You're a genuine engineer, not a tool operator; you can build from scratch, reason about a codebase, and contribute to a modern web platform. Comfort with TypeScript/JavaScript (and ideally React) is a real plus; cloud experience is essential, though we're not precious about which (AWS, GCP, Azure, or Cloudflare). Autonomy. You can take ownership of a work-stream and drive it without the mental load sitting with the leadership team. Typically this means 5+ years of relevant experience, but we care far more about the scope you can hold than the number. Versatility. You're comfortable with shifting priorities in an early-stage environment and willing to have a foot in more than one camp as the needs of the business change. Communication. You can translate business goals and SME knowledge into technical solutions, and explain trade-offs clearly to a non-engineering audience. Locality. Within commuting distance of London, able to work 1-2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph databases. Familiarity with a modern data stack: Databricks, dbt, DLT, Unity Catalog or similar. This is a direction of travel for us, not a settled decision, so exposure is welcome but not required. Experience with the Cloudflare ecosystem, or with serverless/edge-first architectures. Familiarity with event-driven architectures and message brokers/queues. Experience in fintech, climate, or other data-heavy / decision-support domains. A genuine interest in sustainability, nature recovery, and conservation finance. Why Join Great Yellow? Be part of an innovative start-up that's breaking new ground in finance and ecological restoration. Engage in meaningful work with the potential to make a lasting impact on the planet. Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth. Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it). We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and coffee). Apply for the job Do you want to join our team? Then we'd love to hear about you!
22/07/2026
Full time
At Great Yellow we're looking for a Senior Data Platform Engineer to join our team. About Great Yellow Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative land-use investable and scalable, helping businesses, investors, and land managers move from intention to investable action. We're proving it in the UK on landmark landscape recovery projects, with proprietary natural capital valuation models and a growing team of advisors, project managers, ecological experts, engineers, and product thinkers. Our vision continues to grow: any enterprise, anywhere, running a regenerative land-use programme at scale, on our platform. We're building the intelligence layer that will fundamentally reshape how land-use decisions are made, financed and scaled, toward a world where those decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. This is a system designed not just to analyse the world, but to actively coordinate regenerative land-use across landscapes, supply chains and asset classes. We're a small, early-stage technical team inside a wider commercial business. We ship fast, validate, and iterate. About the Role We're looking for a senior engineer to design, build, and own the data pipelines and data architecture that feed both our customer-facing platform and our internal teams, and who has the software-engineering range to jump in alongside our product engineers when the work calls for it. This is a hands on role reporting to the Head of Engineering. The volume of work isn't the challenge, the variety is. Over the next 6-12 months we expect to stand up many pipelines across very different data shapes, from statutory BNG and carbon datasets to live environmental sensor feeds and investor data products. You'll be the person who can look at a new source, pick the right pattern for it, build it, and know when and where it will strain. You'll thrive here if you like owning a work-stream end-to-end: design doc to production to iteration, without needing the thinking done for you. You're equally comfortable shaping architecture and getting your hands dirty in the code. What you'll do Design and own our data pipelines. Build and maintain robust ETL workflows across a deliberately diverse set of sources. The three dominant shapes we see today are: unifying and normalising data into a relational store with proper versioning and lineage; polling an external API and landing it as a Hive-partitioned Parquet dataset; storing document blobs and their metadata via a document-management approach. There will be many more shapes; your job is to choose the right one each time rather than force-fit a single pattern. Make sound architecture calls. Understand the difference between operational and analytical layers and design right-sized infrastructure that scales with us over time. Our focus is variety, not big data. Know which patterns suit which problems, when a new tool genuinely earns its place, and when it doesn't. Engage directly with the source. Work with subject-matter experts across the business to understand what the data means before you model it. Build for reliability. Put the hooks, monitoring, and KPIs in place to know how a pipeline is performing, where its limits are, and when it's degrading, before someone else notices. Contribute to the platform. Pair with our Senior Software Developer on the customer-facing product (currently a lean, Cloudflare-native TypeScript / React stack in a monorepo). Critique designs, raise the bar, and help us build features that are well-tested and built to last. Use AI as a lever, not a crutch. We expect strong day-to-day fluency with AI-assisted development: planning, refactoring, reviewing, catching bugs and security issues, moving faster as a small team. But we need a senior who can architect and build from first principles, not someone who leans on the tools to paper over gaps. Help shape what's next. We're not event-driven today, but that's a likely direction. You'll have real influence over the stack and the standards as the team grows. What we're looking for Data engineering depth. Demonstrable experience designing, building, and maintaining production data pipelines across heterogeneous sources, strong SQL and data-modelling skills, and real ELT/ETL experience (e.g. with tools such as dbt or similar). Architectural judgement. You can reason about operational vs analytical layers, data lake / warehouse patterns, versioning and lineage, and right-sizing infrastructure for a variety-first (not volume-first) problem. Software-engineering fundamentals. You're a genuine engineer, not a tool operator; you can build from scratch, reason about a codebase, and contribute to a modern web platform. Comfort with TypeScript/JavaScript (and ideally React) is a real plus; cloud experience is essential, though we're not precious about which (AWS, GCP, Azure, or Cloudflare). Autonomy. You can take ownership of a work-stream and drive it without the mental load sitting with the leadership team. Typically this means 5+ years of relevant experience, but we care far more about the scope you can hold than the number. Versatility. You're comfortable with shifting priorities in an early-stage environment and willing to have a foot in more than one camp as the needs of the business change. Communication. You can translate business goals and SME knowledge into technical solutions, and explain trade-offs clearly to a non-engineering audience. Locality. Within commuting distance of London, able to work 1-2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph databases. Familiarity with a modern data stack: Databricks, dbt, DLT, Unity Catalog or similar. This is a direction of travel for us, not a settled decision, so exposure is welcome but not required. Experience with the Cloudflare ecosystem, or with serverless/edge-first architectures. Familiarity with event-driven architectures and message brokers/queues. Experience in fintech, climate, or other data-heavy / decision-support domains. A genuine interest in sustainability, nature recovery, and conservation finance. Why Join Great Yellow? Be part of an innovative start-up that's breaking new ground in finance and ecological restoration. Engage in meaningful work with the potential to make a lasting impact on the planet. Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth. Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it). We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and coffee). Apply for the job Do you want to join our team? Then we'd love to hear about you!
Job Description Evolutum are looking for an experienced Solution Architect to join a small but dynamic team and provide sound technical leadership in all aspects of their business. You will lead a team of developers to deliver cutting-edge software, bringing them up to speed to continuously achieve the technical targets set by the business. You will manage the expectations of the business stakeholders, both internally and externally, on achievable targets and work with them to take them through the journey of what our product and deliver. You will be involved in various pre sales schemes, facing off to prospective clients to be the technical face of the business. Responsibilities and duties Work on dynamic projects that cover several new products and technologies, but focus on architecting, developing and implementing the core of a cloud and web based enterprise platform that is critical in future. Design and architect large scale distributed web applications and cloud based services to meet complex business requirements. Guide the development team to build Web Applications with the right architecture and design, yet be pragmatic as required. Communicate the target architecture design and roadmap to the team. Specify and prioritise development items for the team based on deep understanding of the technologies involved and team objectives. Ensure clean design, architectural consistency and exemplary development practices. Maintain documents describing the design and make them available to foster knowledge and create agreement on what we're building. Develop frameworks, proof of concepts or foundation level code where necessary. Provide technical inputs to the product management team to ensure successful product delivery and informed decision making. Communicate and drive the implementation of non functional requirements to the web developers. Promote best practices for software engineering, to ensure solid code and usability consistency across teams. Oversee the documentation of the web framework as well as interface design/documentation with external/internal APIs. Spearhead our technology trajectory by doing progressive research and prototyping cutting edge technologies. Write and advocate requirements (features, stories) for projects that advance technology/framework maturity and align to the strategic roadmap. Engage in sprint and release planning as a subject matter expert. Essential Skills and Experiences Extensive technical experience in designing and developing enterprise web applications, architecting solutions in a lean/agile way, including consideration of scalability, resilience, partner interfaces, security (risks and threats, authentication, authorization), tuning and testing using automated testing patterns and tools, balancing the need for feature development with architecture. Practical experience in a broad range of development languages and frameworks including Java, and a clear understanding of their relative merits and applicability. Development experience of artificial intelligence driven machine learning products. Skills in developing and designing cloud based solutions including experience with web services, REST API, API management and API gateways, AWS including ELB, ASG, EC2, ECS, EKS, authentication and authorisation mechanisms (inc. SAML, Open ID Connect, penetration test tools and remediation of issues found). Strong expertise of design patterns, object oriented design principles, engineering knowledge, developing frameworks and reusable components and building scalable applications for the cloud. Experience of devops techniques and technologies, CI/CD, Jenkins. Delivery Skills Ensuring technologies are used efficiently, profitably and securely. Evaluating and implementing new system features. Develop technical aspects of the company's strategy to ensure alignment with its business goals. Strong development skills are required - a good knowledge of the Java programming language, plus associated tooling such as Maven, Git and a modern IDE such as IntelliJ IDEA. We are committed to the DevOps culture, and are well progressed down the line of Infrastructure as Code along with a fully automated build and deployment operating mode. We see this as being critical in our ability to react quickly to our customers ever changing and emerging list of requirements, and you will be expected to push this initiative through to its eventual conclusion. Qualifications Minimum bachelor's degree in computer science or any related field. Professional certifications and accreditations (desirable).
22/07/2026
Full time
Job Description Evolutum are looking for an experienced Solution Architect to join a small but dynamic team and provide sound technical leadership in all aspects of their business. You will lead a team of developers to deliver cutting-edge software, bringing them up to speed to continuously achieve the technical targets set by the business. You will manage the expectations of the business stakeholders, both internally and externally, on achievable targets and work with them to take them through the journey of what our product and deliver. You will be involved in various pre sales schemes, facing off to prospective clients to be the technical face of the business. Responsibilities and duties Work on dynamic projects that cover several new products and technologies, but focus on architecting, developing and implementing the core of a cloud and web based enterprise platform that is critical in future. Design and architect large scale distributed web applications and cloud based services to meet complex business requirements. Guide the development team to build Web Applications with the right architecture and design, yet be pragmatic as required. Communicate the target architecture design and roadmap to the team. Specify and prioritise development items for the team based on deep understanding of the technologies involved and team objectives. Ensure clean design, architectural consistency and exemplary development practices. Maintain documents describing the design and make them available to foster knowledge and create agreement on what we're building. Develop frameworks, proof of concepts or foundation level code where necessary. Provide technical inputs to the product management team to ensure successful product delivery and informed decision making. Communicate and drive the implementation of non functional requirements to the web developers. Promote best practices for software engineering, to ensure solid code and usability consistency across teams. Oversee the documentation of the web framework as well as interface design/documentation with external/internal APIs. Spearhead our technology trajectory by doing progressive research and prototyping cutting edge technologies. Write and advocate requirements (features, stories) for projects that advance technology/framework maturity and align to the strategic roadmap. Engage in sprint and release planning as a subject matter expert. Essential Skills and Experiences Extensive technical experience in designing and developing enterprise web applications, architecting solutions in a lean/agile way, including consideration of scalability, resilience, partner interfaces, security (risks and threats, authentication, authorization), tuning and testing using automated testing patterns and tools, balancing the need for feature development with architecture. Practical experience in a broad range of development languages and frameworks including Java, and a clear understanding of their relative merits and applicability. Development experience of artificial intelligence driven machine learning products. Skills in developing and designing cloud based solutions including experience with web services, REST API, API management and API gateways, AWS including ELB, ASG, EC2, ECS, EKS, authentication and authorisation mechanisms (inc. SAML, Open ID Connect, penetration test tools and remediation of issues found). Strong expertise of design patterns, object oriented design principles, engineering knowledge, developing frameworks and reusable components and building scalable applications for the cloud. Experience of devops techniques and technologies, CI/CD, Jenkins. Delivery Skills Ensuring technologies are used efficiently, profitably and securely. Evaluating and implementing new system features. Develop technical aspects of the company's strategy to ensure alignment with its business goals. Strong development skills are required - a good knowledge of the Java programming language, plus associated tooling such as Maven, Git and a modern IDE such as IntelliJ IDEA. We are committed to the DevOps culture, and are well progressed down the line of Infrastructure as Code along with a fully automated build and deployment operating mode. We see this as being critical in our ability to react quickly to our customers ever changing and emerging list of requirements, and you will be expected to push this initiative through to its eventual conclusion. Qualifications Minimum bachelor's degree in computer science or any related field. Professional certifications and accreditations (desirable).
Senior Software Engineer - Pricing AI (Manchester) The Role We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust code and unit tests to developing APIs and integrating machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing, and develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics; work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services; ensure APIs are secure, well documented, and perform at scale. Write and maintain comprehensive tests for your code; use PyTest for unit testing and Selenium (where appropriate) for end to end or UI testing to automate quality assurance; ensure that new features have proper test coverage and meet quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models; containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments; optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post deployment. Keep up to date with the latest developments in Python, AI/ML technologies, and software engineering best practices; proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. Provide technical guidance and mentorship to Junior Engineers. Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience); a Master's degree or specialization in Artificial Intelligence/Machine Learning is a plus. Must have 8 years' experience working as a Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit, Mockito, PyTest, and Selenium. Strong working knowledge of the PyData stack-pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation, and experience with data analysis and troubleshooting data related issues. Knowledge of design patterns and software architectures. Familiarity with CI/CD and automation tools; experience using Git for version control and platforms like Bitbucket for code collaboration; knowledge of build tools and pipeline configuration (Jenkins) to automate testing and deployment. Strong problem solving and analytical skills. Presentation and teamwork skills. Understanding of both Waterfall and Agile methodologies.
22/07/2026
Full time
Senior Software Engineer - Pricing AI (Manchester) The Role We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust code and unit tests to developing APIs and integrating machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing, and develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics; work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services; ensure APIs are secure, well documented, and perform at scale. Write and maintain comprehensive tests for your code; use PyTest for unit testing and Selenium (where appropriate) for end to end or UI testing to automate quality assurance; ensure that new features have proper test coverage and meet quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models; containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments; optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post deployment. Keep up to date with the latest developments in Python, AI/ML technologies, and software engineering best practices; proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. Provide technical guidance and mentorship to Junior Engineers. Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience); a Master's degree or specialization in Artificial Intelligence/Machine Learning is a plus. Must have 8 years' experience working as a Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit, Mockito, PyTest, and Selenium. Strong working knowledge of the PyData stack-pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation, and experience with data analysis and troubleshooting data related issues. Knowledge of design patterns and software architectures. Familiarity with CI/CD and automation tools; experience using Git for version control and platforms like Bitbucket for code collaboration; knowledge of build tools and pipeline configuration (Jenkins) to automate testing and deployment. Strong problem solving and analytical skills. Presentation and teamwork skills. Understanding of both Waterfall and Agile methodologies.
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Analytics Engineer to help design, build, and scale our analytics platform. This is a hands on, high impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well governed data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation. Our mission is to deliver timely, scalable, and high quality data and insights that enable data driven decision making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision ready datasets. What You Will Be Doing Analytics Engineering and Data Modelling Design, build, and maintain analytics ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering. Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business facing models. Apply strong data modelling techniques, including dimensional modelling, facts and dimensions, and other appropriate design patterns. Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity. Ensure data quality and trust through testing, documentation, and observability within dbt. Business Partnership Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well designed data models. Act as a trusted thought partner, helping stakeholders understand what is possible with data and shaping requirements collaboratively. Balance technical excellence with pragmatic delivery, focusing on measurable business outcomes. Platform and Best Practices Define and embed dbt standards, including naming conventions, model layering, testing strategies, and documentation practices. Contribute to data architecture decisions, including warehouse design, schema organisation, and performance optimisation. Improve developer experience through tooling, CI/CD patterns, and modern analytics engineering workflows. Maintain deep expertise in the analytics technology stack, ensuring optimal performance and effective feature usage. Required Skills Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms. Strong hands on experience with dbt, including: Data model design and refactoring Generic and singular testing Documentation and exposures Sources, snapshots, and macros Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches. Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift. Demonstrated ability to design analytics models that are technically robust and intuitive for business users. Experience building greenfield analytics or data platforms, or significantly evolving existing ones. Experience with data quality and observability, using dbt or complementary tooling. Familiarity with orchestration tools such as Airflow, Dagster, or Prefect. Experience with semantic layers, metrics frameworks, or analytics consumption patterns. Exposure to data governance, access control, or analytics enablement at scale. Experience mentoring or supporting junior analytics engineers or analysts. Strong track record of partnering effectively with business teams to deliver outcomes. Undergraduate degree in a related field, or an equivalent combination of education and experience. Desirable Experience and Attributes Comfort operating in ambiguous or evolving data environments. Strong focus on clean design, maintainability, and long term sustainability, not just speed of delivery. Pride in building trusted data assets that are widely adopted and valued. Ability to be opinionated yet pragmatic, clearly explaining trade offs and adapting when required. Experience maintaining high technical delivery standards, including documentation and end user self service enablement. Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions. Ongoing support for users who rely on analytics products for decision making. Nice to Have: Extensive experience with Domo. Hands on experience with Snowflake. Exposure to web technologies such as JavaScript, HTML, and CSS. Experience in web analytics or related domains. Knowledge of statistical methodologies. Exposure to data science or advanced analytics use cases. Experience developing on AWS. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
22/07/2026
Full time
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Analytics Engineer to help design, build, and scale our analytics platform. This is a hands on, high impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well governed data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation. Our mission is to deliver timely, scalable, and high quality data and insights that enable data driven decision making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision ready datasets. What You Will Be Doing Analytics Engineering and Data Modelling Design, build, and maintain analytics ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering. Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business facing models. Apply strong data modelling techniques, including dimensional modelling, facts and dimensions, and other appropriate design patterns. Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity. Ensure data quality and trust through testing, documentation, and observability within dbt. Business Partnership Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well designed data models. Act as a trusted thought partner, helping stakeholders understand what is possible with data and shaping requirements collaboratively. Balance technical excellence with pragmatic delivery, focusing on measurable business outcomes. Platform and Best Practices Define and embed dbt standards, including naming conventions, model layering, testing strategies, and documentation practices. Contribute to data architecture decisions, including warehouse design, schema organisation, and performance optimisation. Improve developer experience through tooling, CI/CD patterns, and modern analytics engineering workflows. Maintain deep expertise in the analytics technology stack, ensuring optimal performance and effective feature usage. Required Skills Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms. Strong hands on experience with dbt, including: Data model design and refactoring Generic and singular testing Documentation and exposures Sources, snapshots, and macros Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches. Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift. Demonstrated ability to design analytics models that are technically robust and intuitive for business users. Experience building greenfield analytics or data platforms, or significantly evolving existing ones. Experience with data quality and observability, using dbt or complementary tooling. Familiarity with orchestration tools such as Airflow, Dagster, or Prefect. Experience with semantic layers, metrics frameworks, or analytics consumption patterns. Exposure to data governance, access control, or analytics enablement at scale. Experience mentoring or supporting junior analytics engineers or analysts. Strong track record of partnering effectively with business teams to deliver outcomes. Undergraduate degree in a related field, or an equivalent combination of education and experience. Desirable Experience and Attributes Comfort operating in ambiguous or evolving data environments. Strong focus on clean design, maintainability, and long term sustainability, not just speed of delivery. Pride in building trusted data assets that are widely adopted and valued. Ability to be opinionated yet pragmatic, clearly explaining trade offs and adapting when required. Experience maintaining high technical delivery standards, including documentation and end user self service enablement. Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions. Ongoing support for users who rely on analytics products for decision making. Nice to Have: Extensive experience with Domo. Hands on experience with Snowflake. Exposure to web technologies such as JavaScript, HTML, and CSS. Experience in web analytics or related domains. Knowledge of statistical methodologies. Exposure to data science or advanced analytics use cases. Experience developing on AWS. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End-to-End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non-technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
22/07/2026
Full time
About The Role Here at Car Finance 247, we are looking for an experienced AI Engineer to join our expanding Technology team and help build production AI services that improve how customers, colleagues and partners move through the car finance journey. As a AI Engineer, you will take a leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director of Technology, you will help keep Car Finance 247 at the forefront of AI and emerging technology. You will work closely with stakeholders across the business to identify where AI can deliver the greatest value, shape ideas into practical solutions, rapidly develop proof of concepts, and take successful initiatives through to secure, scalable and fully operational services. This is a hands on role with the opportunity to influence our AI strategy, establish engineering best practices and deliver intelligent products that create measurable value for both our customers and the business. You will work across customer-facing journeys and internal operational workflows, turning promising AI ideas into secure, observable and maintainable services. The role suits someone who enjoys hands on engineering, rapid experimentation and taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs. End-to-End Project Ownership: Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value. Continuous Innovation: Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non-technical audiences. Planning & Delivery Management: Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira. Executive Communication: Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design. Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads. Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows. Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation. Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment with free fruit and juice bars Birthday off! Onsite Gym Free transport to and from Piccadilly Train station Free Barista bar serving teas and coffees Excellent career progression About Team 247 We're more than the UK's digital car finance platform. We're a Manchester tech business that's reshaping how people buy cars. Backed by smart tech, sharp minds, and a relentless focus on exceptional service, we're on a mission to make car finance simple, fast, and customer first. We've got big goals - and the roadmap to get there. Join us and be part of something exciting. Our values Passion, Ownership, Resilience and Togetherness define how we work and win. We look for people who bring energy and drive, take accountability, push through challenges, and back their teammates. If you care about doing a great job, stepping up when it matters, and succeeding as part of a team, you'll fit right in.
Rentokil Pest Control South Africa
Crawley, Sussex
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific use case solutions. Collaborating with the Data Platform to ingest and transform data from multiple systems, model data, and engineer data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Supporting, governing, and enabling company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & data scientists, while remaining hands on enough to solve complex engineering bottlenecks. You will support Use Case design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimisation of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organisation, partners, and peers. Partner with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimisation strategies for large scale BigQuery environments. Relevant Qualifications Google Cloud Certified - Cloud Engineer (desirable) Google Cloud Certified - Professional Data Engineer / Cloud AI Engineer (desirable) Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything.
22/07/2026
Full time
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific use case solutions. Collaborating with the Data Platform to ingest and transform data from multiple systems, model data, and engineer data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Supporting, governing, and enabling company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & data scientists, while remaining hands on enough to solve complex engineering bottlenecks. You will support Use Case design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimisation of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organisation, partners, and peers. Partner with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimisation strategies for large scale BigQuery environments. Relevant Qualifications Google Cloud Certified - Cloud Engineer (desirable) Google Cloud Certified - Professional Data Engineer / Cloud AI Engineer (desirable) Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything.
IT Business Analyst - FX Technology Job Context The FX Technology group builds and supports platforms powering Citi's global Foreign Exchange business, one of the most complex, high volume, and latency sensitive trading environments in the industry. These platforms support pricing, execution, trade processing, risk management, post trade workflows, and client connectivity. The Business Analyst will work within an Agile feature team to enable rapid, high quality delivery aligning business needs with technology solutions. Key Responsibilities Driving and coordinating overall technology delivery for one or multiple projects or programs Project management drawing on multiple methodologies as appropriate - including scoping initiatives, creating plans in Excel or Jira, managing progress of delivery Create and maintain a RAID log, raising risks, assumptions, issues and dependencies, and then driving them to resolution or escalating where support is needed Input into the central Program team governance processes and best practices ensuring high standard Project and Program management Lead and inspire delivery teams, often through matrix management of individuals from multiple different teams and functions Chair meetings with application developers and stakeholders, ranging from daily scrums to weekly updates to ad hoc technical workshops Take and circulate meeting minutes - including tracking attendees, key discussion points and action logs Stakeholder management of both technology and business stakeholders up to executive level, including hosting and preparing Steering Committees, managing escalations, and managing multi year delivery roadmaps Work with business teams to maintain the backlog and assess priorities on a frequent basis Create presentations, including for Operating Committees and Steering Committees Host Steering and Operating Committees where applicable and present in other forums Input into the central Program Delivery team governance processes and best practices, ensuring high standard Project and Program delivery and enabling central standardisation across the department Knowledge / Experience Deep and comprehensive expertise in FX or Capital Markets domain, including regulatory aspects, market structures, and evolving industry trends Expert level understanding of end to end trade lifecycle, market conventions, and its interdependencies across various systems Extensive experience in leading Agile/Scrum teams or initiatives, demonstrating strong leadership and facilitation skills Demonstrated experience in leading feature teams and driving significant product enhancements and strategic transformations Experience Keen interest and curiosity in Artificial Intelligence, Machine Learning, and Generative AI technologies, with an eagerness to explore their application in financial services Proactive in identifying and learning about emerging AI trends and their potential to drive innovation and efficiency within the FX business Strong desire to contribute to the development and integration of intelligent agent based solutions for optimizing trading and risk management workflows Exceptional analytical, strategic thinking, and complex problem solving abilities, capable of tackling multi faceted business challenges Superior communication, negotiation, and presentation skills, with a proven ability to influence and engage senior stakeholders across diverse functions and geographies Advanced understanding of data architecture, sophisticated data analysis techniques, and complex troubleshooting methodologies Expertise in managing multiple concurrent strategic priorities and complex programs/projects, demonstrating strong organisational and prioritisation skills Strategic stakeholder management and advanced conflict resolution capabilities Demonstrated leadership, innovation, and proactive drive for results, with a strong commitment to excellence Benefits 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Hybrid working model: up to 2 days working at home per week. Competitive base salary (annually reviewed). Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
22/07/2026
Full time
IT Business Analyst - FX Technology Job Context The FX Technology group builds and supports platforms powering Citi's global Foreign Exchange business, one of the most complex, high volume, and latency sensitive trading environments in the industry. These platforms support pricing, execution, trade processing, risk management, post trade workflows, and client connectivity. The Business Analyst will work within an Agile feature team to enable rapid, high quality delivery aligning business needs with technology solutions. Key Responsibilities Driving and coordinating overall technology delivery for one or multiple projects or programs Project management drawing on multiple methodologies as appropriate - including scoping initiatives, creating plans in Excel or Jira, managing progress of delivery Create and maintain a RAID log, raising risks, assumptions, issues and dependencies, and then driving them to resolution or escalating where support is needed Input into the central Program team governance processes and best practices ensuring high standard Project and Program management Lead and inspire delivery teams, often through matrix management of individuals from multiple different teams and functions Chair meetings with application developers and stakeholders, ranging from daily scrums to weekly updates to ad hoc technical workshops Take and circulate meeting minutes - including tracking attendees, key discussion points and action logs Stakeholder management of both technology and business stakeholders up to executive level, including hosting and preparing Steering Committees, managing escalations, and managing multi year delivery roadmaps Work with business teams to maintain the backlog and assess priorities on a frequent basis Create presentations, including for Operating Committees and Steering Committees Host Steering and Operating Committees where applicable and present in other forums Input into the central Program Delivery team governance processes and best practices, ensuring high standard Project and Program delivery and enabling central standardisation across the department Knowledge / Experience Deep and comprehensive expertise in FX or Capital Markets domain, including regulatory aspects, market structures, and evolving industry trends Expert level understanding of end to end trade lifecycle, market conventions, and its interdependencies across various systems Extensive experience in leading Agile/Scrum teams or initiatives, demonstrating strong leadership and facilitation skills Demonstrated experience in leading feature teams and driving significant product enhancements and strategic transformations Experience Keen interest and curiosity in Artificial Intelligence, Machine Learning, and Generative AI technologies, with an eagerness to explore their application in financial services Proactive in identifying and learning about emerging AI trends and their potential to drive innovation and efficiency within the FX business Strong desire to contribute to the development and integration of intelligent agent based solutions for optimizing trading and risk management workflows Exceptional analytical, strategic thinking, and complex problem solving abilities, capable of tackling multi faceted business challenges Superior communication, negotiation, and presentation skills, with a proven ability to influence and engage senior stakeholders across diverse functions and geographies Advanced understanding of data architecture, sophisticated data analysis techniques, and complex troubleshooting methodologies Expertise in managing multiple concurrent strategic priorities and complex programs/projects, demonstrating strong organisational and prioritisation skills Strategic stakeholder management and advanced conflict resolution capabilities Demonstrated leadership, innovation, and proactive drive for results, with a strong commitment to excellence Benefits 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Hybrid working model: up to 2 days working at home per week. Competitive base salary (annually reviewed). Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
At Vix Technology, we're not just moving people - we're moving the world forward. Our solutions power the technology behind public transport, payments, and connected mobility across 200+ cities worldwide. Now, we're strengthening the digital foundations that make that possible. We're looking for an experienced Security Architect to shape and lead our security strategy - designing the frameworks, systems, and culture that protect millions of journeys every day. This is a role for someone who thrives at the intersection of strategy and execution, translating complex challenges into elegant, scalable security solutions. The Opportunity As our Security Architect, you'll own the design and evolution of enterprise-wide security architecture across on-premise, cloud, and hybrid environments. You'll partner with engineers, developers, and business leaders to ensure security is embedded by design, not added as an afterthought. Your work will span from threat modeling and risk assessment to architecting PCI DSS compliant solutions, building the secure infrastructure that underpins our global mobility and payments platforms. This is your opportunity to influence how a fast growing technology company manages risk, resilience, and trust at scale. What You'll Do Design, implement, and evolve secure, enterprise grade architectures across cloud, hybrid, and on prem environments. Embed security into every stage of our SDLC, partnering with IT, product, and development teams. Conduct risk assessments and threat modeling, proactively identifying vulnerabilities and mitigation strategies. Develop and maintain security policies and frameworks aligned with NIST, ISO 27001, and CIS Controls. Lead PCI DSS architecture and compliance, ensuring both front and back office systems meet standards. Guide and mentor teams in best practice security engineering, fostering a culture of continuous improvement. Stay ahead of emerging threats, technologies, and frameworks - ensuring we remain one step ahead. Requirements You're a strategic thinker with hands on technical depth, able to balance business needs with security excellence. 5+ years in cybersecurity, with at least 3 in security architecture or design leadership. Deep understanding of AWS security, hybrid cloud design, and modern DevSecOps principles. Strong knowledge of frameworks such as NIST, ISO 27001, OWASP, and CIS. Experience designing and implementing secure, compliant PCI DSS solutions. Solid grounding in tools and technologies like SIEM, IDS/IPS, DLP, endpoint protection, IAM, and encryption. Ability to communicate complex concepts clearly and influence at all levels. Certifications such as CISSP, CCSP, CISM, or TOGAF are a plus. Bonus points if you bring experience with Zero Trust architectures, Well Architected Framework reviews, or threat intelligence platforms. Benefits Besides the opportunity to work for a global company that is customer and people focused, we offer: A focus on Learning and development A great team of like minded professionals Private Healthcare Income Protection Scheme Pension Group Life Assurance Cycle to Work Scheme Electric Car Benefit Scheme Employee Assistance Program Sounds good? Then apply now and get on board today! Add your resume and anything else to showcase why you would be a great addition to our team. We regret that this position is only available for UK citizens/Residents with indefinite leave to remain in the UK. No recruitment agencies, please! We won't accept any introductions. Vix Technology is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all people and want to build a workforce as diverse as the community we serve. We aim to have a work environment where everyone feels included and everyone can realise their full potential.
22/07/2026
Full time
At Vix Technology, we're not just moving people - we're moving the world forward. Our solutions power the technology behind public transport, payments, and connected mobility across 200+ cities worldwide. Now, we're strengthening the digital foundations that make that possible. We're looking for an experienced Security Architect to shape and lead our security strategy - designing the frameworks, systems, and culture that protect millions of journeys every day. This is a role for someone who thrives at the intersection of strategy and execution, translating complex challenges into elegant, scalable security solutions. The Opportunity As our Security Architect, you'll own the design and evolution of enterprise-wide security architecture across on-premise, cloud, and hybrid environments. You'll partner with engineers, developers, and business leaders to ensure security is embedded by design, not added as an afterthought. Your work will span from threat modeling and risk assessment to architecting PCI DSS compliant solutions, building the secure infrastructure that underpins our global mobility and payments platforms. This is your opportunity to influence how a fast growing technology company manages risk, resilience, and trust at scale. What You'll Do Design, implement, and evolve secure, enterprise grade architectures across cloud, hybrid, and on prem environments. Embed security into every stage of our SDLC, partnering with IT, product, and development teams. Conduct risk assessments and threat modeling, proactively identifying vulnerabilities and mitigation strategies. Develop and maintain security policies and frameworks aligned with NIST, ISO 27001, and CIS Controls. Lead PCI DSS architecture and compliance, ensuring both front and back office systems meet standards. Guide and mentor teams in best practice security engineering, fostering a culture of continuous improvement. Stay ahead of emerging threats, technologies, and frameworks - ensuring we remain one step ahead. Requirements You're a strategic thinker with hands on technical depth, able to balance business needs with security excellence. 5+ years in cybersecurity, with at least 3 in security architecture or design leadership. Deep understanding of AWS security, hybrid cloud design, and modern DevSecOps principles. Strong knowledge of frameworks such as NIST, ISO 27001, OWASP, and CIS. Experience designing and implementing secure, compliant PCI DSS solutions. Solid grounding in tools and technologies like SIEM, IDS/IPS, DLP, endpoint protection, IAM, and encryption. Ability to communicate complex concepts clearly and influence at all levels. Certifications such as CISSP, CCSP, CISM, or TOGAF are a plus. Bonus points if you bring experience with Zero Trust architectures, Well Architected Framework reviews, or threat intelligence platforms. Benefits Besides the opportunity to work for a global company that is customer and people focused, we offer: A focus on Learning and development A great team of like minded professionals Private Healthcare Income Protection Scheme Pension Group Life Assurance Cycle to Work Scheme Electric Car Benefit Scheme Employee Assistance Program Sounds good? Then apply now and get on board today! Add your resume and anything else to showcase why you would be a great addition to our team. We regret that this position is only available for UK citizens/Residents with indefinite leave to remain in the UK. No recruitment agencies, please! We won't accept any introductions. Vix Technology is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all people and want to build a workforce as diverse as the community we serve. We aim to have a work environment where everyone feels included and everyone can realise their full potential.
Job Role Data Management and Analytics-Data development/developers Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Earnix Developer Location: London, United Kingdom (Hybrid) Employment Type: Permanent Summary of the role: We are seeking an experienced Earnix Developer to support the design, development and maintenance of Earnix pricing solutions within our Insurance business. You will work closely with actuarial, data and technology teams to deliver scalable pricing and rating solutions, support system integrations, and optimise the end-to-end pricing lifecycle. The ideal candidate will have strong experience with Earnix development and implementation, alongside knowledge of P&C insurance pricing processes, APIs, Python and enterprise system integration. Experience with cloud technologies and data pipelines is advantageous. As part of your duties, you will be responsible for: Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring Develop, enhance, and maintain Earnix-based pricing models and decisioning systems Ensure performance, scalability, and reliability of Earnix solutions in production environments Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs) Participate in testing, validation, and deployment of pricing models Troubleshoot and resolve technical and functional issues in pricing applications Contribute to best practices, documentation, and governance for pricing systems and actuarial processes Qualifications and experience we consider to be essential for the role: Bachelor's or master's degree in computer science, Actuarial Science, Mathematics, Engineering, or related field 5+ years of experience in insurance technology or pricing systems development Prior experience in Earnix implementation projects is highly preferred Strong experience with platforms like Earnix (configuration, modeling, deployment) Proficiency in Python and data handling for large datasets Experience with APIs, system integration, and microservices architecture Knowledge of cloud platforms is a plus Knowledge of data pipelines, ETL processes, and data modeling Solid understanding of P&C insurance pricing and underwriting processes Exposure to actuarial modeling, rating algorithms, and risk segmentation Familiarity with regulatory and compliance considerations in insurance pricing Strong analytical and problem-solving skills Ability to work collaboratively in cross-functional teams Excellent communication and stakeholder management skills Detail-oriented with a focus on quality and accuracy As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
21/07/2026
Full time
Job Role Data Management and Analytics-Data development/developers Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Earnix Developer Location: London, United Kingdom (Hybrid) Employment Type: Permanent Summary of the role: We are seeking an experienced Earnix Developer to support the design, development and maintenance of Earnix pricing solutions within our Insurance business. You will work closely with actuarial, data and technology teams to deliver scalable pricing and rating solutions, support system integrations, and optimise the end-to-end pricing lifecycle. The ideal candidate will have strong experience with Earnix development and implementation, alongside knowledge of P&C insurance pricing processes, APIs, Python and enterprise system integration. Experience with cloud technologies and data pipelines is advantageous. As part of your duties, you will be responsible for: Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring Develop, enhance, and maintain Earnix-based pricing models and decisioning systems Ensure performance, scalability, and reliability of Earnix solutions in production environments Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs) Participate in testing, validation, and deployment of pricing models Troubleshoot and resolve technical and functional issues in pricing applications Contribute to best practices, documentation, and governance for pricing systems and actuarial processes Qualifications and experience we consider to be essential for the role: Bachelor's or master's degree in computer science, Actuarial Science, Mathematics, Engineering, or related field 5+ years of experience in insurance technology or pricing systems development Prior experience in Earnix implementation projects is highly preferred Strong experience with platforms like Earnix (configuration, modeling, deployment) Proficiency in Python and data handling for large datasets Experience with APIs, system integration, and microservices architecture Knowledge of cloud platforms is a plus Knowledge of data pipelines, ETL processes, and data modeling Solid understanding of P&C insurance pricing and underwriting processes Exposure to actuarial modeling, rating algorithms, and risk segmentation Familiarity with regulatory and compliance considerations in insurance pricing Strong analytical and problem-solving skills Ability to work collaboratively in cross-functional teams Excellent communication and stakeholder management skills Detail-oriented with a focus on quality and accuracy As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
Role Overview The HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape. This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future ready solutions that support Fortive's operating companies and HR functions globally. Core Technology Landscape Oracle HCM Suite Boomi Middleware ServiceNow HRSD Eightfold AI Platform LMS Solutions Integration APIs Power BI Reporting Oracle Analytics Key Responsibilities 1. HR Systems & Platform Architecture Own the end to end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms. Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud native, API first principles. Establish design standards, governance frameworks, and best practices across the HR tech portfolio. Partner with IT's Azure based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture. 2. Integration Architecture & Engineering Define and drive integration strategy across HR systems, moving from point to point patterns toward reusable, API first services. Lead architecture and hands on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform. Design scalable integration patterns - real time APIs, event driven integrations, and batch/file based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems. Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows. Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards. 3. AI Solutions & Automation Identify and deliver high value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI assisted case triage, talent insights, and conversational self service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible AI frameworks for HR use cases. 4. Data Architecture & Governance Design HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams. Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics). Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points. 5. Stakeholder Leadership & Collaboration Serve as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions. Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities. Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling. Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs. Qualifications Required 10-12 years of progressive experience in HR technology and enterprise systems architecture. Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules. Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations. Strong understanding of integration patterns, including REST and SOAP APIs, event driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants or AI driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Must be available to work within U.S. time zones (CST). Preferred Hands on experience with Eightfold AI or comparable talent intelligence platforms. Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar). Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines. Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC). Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products. Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA). What Success Looks Like In the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API first and reusable services, shipped at least two meaningful AI powered HR use cases into production, and established architectural standards that guide the broader HR engineering team. Fortive Corporation Overview Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating. Fortive: For you, for us, for growth. Equal Opportunity Employer Statement We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at .
21/07/2026
Full time
Role Overview The HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape. This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future ready solutions that support Fortive's operating companies and HR functions globally. Core Technology Landscape Oracle HCM Suite Boomi Middleware ServiceNow HRSD Eightfold AI Platform LMS Solutions Integration APIs Power BI Reporting Oracle Analytics Key Responsibilities 1. HR Systems & Platform Architecture Own the end to end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms. Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud native, API first principles. Establish design standards, governance frameworks, and best practices across the HR tech portfolio. Partner with IT's Azure based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture. 2. Integration Architecture & Engineering Define and drive integration strategy across HR systems, moving from point to point patterns toward reusable, API first services. Lead architecture and hands on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform. Design scalable integration patterns - real time APIs, event driven integrations, and batch/file based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems. Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows. Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards. 3. AI Solutions & Automation Identify and deliver high value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI assisted case triage, talent insights, and conversational self service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible AI frameworks for HR use cases. 4. Data Architecture & Governance Design HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams. Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics). Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points. 5. Stakeholder Leadership & Collaboration Serve as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions. Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities. Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling. Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs. Qualifications Required 10-12 years of progressive experience in HR technology and enterprise systems architecture. Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules. Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations. Strong understanding of integration patterns, including REST and SOAP APIs, event driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants or AI driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Must be available to work within U.S. time zones (CST). Preferred Hands on experience with Eightfold AI or comparable talent intelligence platforms. Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar). Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines. Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC). Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products. Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA). What Success Looks Like In the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API first and reusable services, shipped at least two meaningful AI powered HR use cases into production, and established architectural standards that guide the broader HR engineering team. Fortive Corporation Overview Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating. Fortive: For you, for us, for growth. Equal Opportunity Employer Statement We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at .
Job Description As a Senior Data Modeller, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation. Location London, United Kingdom (Hybrid working) Employment Type Permanent Responsibilities Translate business requirements into scalable data models that support long-term business and technology objectives. Design, develop and maintain conceptual, logical and physical data models using industry best practices to ensure data quality, consistency and minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define and promote data modelling standards, naming conventions and best practices across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business data entities and ensure data models accurately reflect business processes and information requirements. Analyse data integration challenges and recommend scalable, efficient solutions across multiple systems. Provide technical guidance to Business Analysts, Developers, Engineers and Solution Architects on data modelling, database design and integration approaches. Review application and database designs, recommending improvements to enhance scalability, maintainability and performance. Contribute to the development and implementation of enterprise data architecture, including data movement strategies, technology direction and governance frameworks. Ensure all data architecture deliverables comply with enterprise standards, policies and best practices. Collaborate closely with project managers, business stakeholders, technical teams and clients to provide expert guidance on all aspects of data architecture, modelling and data management throughout the project lifecycle. Experience and Education required 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, Power Designer etc. Minimum of 8 years of data architecture, data modelling or similar experience 5-7 years of management experience required 5-7 years consulting experience preferred Experience working with dimensionally modelled data Bachelor's degree or equivalent experience, Master's Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience Extensive experience in enterprise data modelling, including conceptual, logical and physical data models. Strong understanding of data architecture principles, data governance and enterprise data management best practices. Experience translating business requirements into scalable data models and technical design documentation. Proven experience analysing business processes and designing data models to support reporting, analytics and operational systems. Strong data profiling, data analysis, data quality and data mapping experience, including source-to-target mapping and legacy data migration. Experience designing and implementing data models for data warehouses, data lakes, operational data stores (ODS) and data marts. Experience reverse engineering existing databases and optimising logical and physical data models. Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating workshops, Joint Application Design (JAD) sessions and collaborating with business and technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/SQL or T-SQL Benefits A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXLemployees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). AtEXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. Eligibility To be considered for this role, you must already be eligible to work in the United Kingdom.
21/07/2026
Full time
Job Description As a Senior Data Modeller, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation. Location London, United Kingdom (Hybrid working) Employment Type Permanent Responsibilities Translate business requirements into scalable data models that support long-term business and technology objectives. Design, develop and maintain conceptual, logical and physical data models using industry best practices to ensure data quality, consistency and minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define and promote data modelling standards, naming conventions and best practices across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business data entities and ensure data models accurately reflect business processes and information requirements. Analyse data integration challenges and recommend scalable, efficient solutions across multiple systems. Provide technical guidance to Business Analysts, Developers, Engineers and Solution Architects on data modelling, database design and integration approaches. Review application and database designs, recommending improvements to enhance scalability, maintainability and performance. Contribute to the development and implementation of enterprise data architecture, including data movement strategies, technology direction and governance frameworks. Ensure all data architecture deliverables comply with enterprise standards, policies and best practices. Collaborate closely with project managers, business stakeholders, technical teams and clients to provide expert guidance on all aspects of data architecture, modelling and data management throughout the project lifecycle. Experience and Education required 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, Power Designer etc. Minimum of 8 years of data architecture, data modelling or similar experience 5-7 years of management experience required 5-7 years consulting experience preferred Experience working with dimensionally modelled data Bachelor's degree or equivalent experience, Master's Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience Extensive experience in enterprise data modelling, including conceptual, logical and physical data models. Strong understanding of data architecture principles, data governance and enterprise data management best practices. Experience translating business requirements into scalable data models and technical design documentation. Proven experience analysing business processes and designing data models to support reporting, analytics and operational systems. Strong data profiling, data analysis, data quality and data mapping experience, including source-to-target mapping and legacy data migration. Experience designing and implementing data models for data warehouses, data lakes, operational data stores (ODS) and data marts. Experience reverse engineering existing databases and optimising logical and physical data models. Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating workshops, Joint Application Design (JAD) sessions and collaborating with business and technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/SQL or T-SQL Benefits A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXLemployees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). AtEXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. Eligibility To be considered for this role, you must already be eligible to work in the United Kingdom.
Developer Fixed Term / Secondment (12 months), Full Time £52,571 to £61,848 per annum Location: Chelmsford Working Style: Anywhere worker Closing Date: 30th July 2026 This is a hybrid-working role contractually based in Chelmsford. You will work from the Chelmsford office at least one day per month, depending on business need. The role is to help us to implement and use a new Placecube Low Code system to create new resident-facing services. We are recruiting a number of Developer roles to cover the following: JavaScript / Type Script, HTML/CSS Java (Spring OSGi modules), REST API's, API design Middleware / ESB patterns. Experience of Liferay front end frameworks would be highly desirable. Essex County Council is ambitious and by 2030 it will be one of the most forward looking, effective and financially sustainable Councils in the country. ECC will be a leading-edge digital council that drives excellent customer service with transformation at the heart of service excellence. The Product and Delivery team will provide product leadership and direction for essex.gov.uk. They will develop a bold product vision, translating this into a roadmap of prioritised deliverables, planning and managing the different phases of the product delivery lifecycle, iterating a product over time to meet user needs, and ensuring products are built effectively, on time and to budget, setting high standards to ensure products meet user needs. The team will also be responsible for artificial intelligence (AI) and robotic process automation capabilities. This role will lead, monitor, optimise and continuously improve the delivery of software components so that the Council can provide simple user experiences and achieve better outcomes for people and businesses. They will be responsible for leading the team writing clean, accessible code that is open by default and easy for others to reuse, developing software which meets user needs and creates meaningful interactions and relationships with users. Role responsibilities Provide oversight for in-house product development to ensure it is contributing to delivering a secure, high performing and sustainable software engineering platform which continues to reduce risk, optimise performance and cost, and support innovation, including: Delivering secure, easy to use, high performing and sustainable frontend services and APIs that support rapid development and regular iteration of services that meet user needs. Leading a robust architecture approach that delivers effective, sustainable use of cloud services and that makes provision for future portability. Delivering secure, easy to use, high performing and sustainable components and microservices that support rapid development and regular iteration of services that meet user needs. Develop quality solutions which are supportable and maintainable, break down complex issues and business problems into elegant and simple solutions, adhere to good development practices and keep in mind opportunities to build common services and components that can be reused. Work closely with the Test Team to produce test plans. Evaluate supplier integration portals to understand the technical feasibility with our existing infrastructure and tech stack. Set the engineering standards and provide assurance that ECC's software solutions, micro services and solutions architecture continue to meet good practice standards and evolve to adopt practices role-modelled by digitally-native organisations globally. Work with the other senior members of the architecture, design and delivery teams to identify risks, assist in risk assessment, manage agreed actions, and monitor the status of risks on an ongoing basis. Actively review outcomes and feed these into future improvements. Use Agile methodology and apply an agile mindset to all aspects of your work. Create a fast-paced, evolving environment and use an iterative method and flexible approach to enable rapid delivery. Coach and lead teams in Agile practices, determining the right approach for the team to take and evaluating this through the life of a project, acting as a recognised expert and advocate for Agile approaches, continuously reflecting and challenging the team, promoting the generous sharing of expertise and creating opportunities for continuous learning and development. Specific individual and shared targets and objectives are defined annually within the performance management framework. Knowledge, Skills and Experience Educated to Degree level or equivalent in experience in a relevant subject. Experience of delivering digital projects and products/prototypes within a complex and diverse context. Evidence of delivering and using agile methods balancing multiple priorities, dealing with ambiguity and evidencing impact. Knowledge of relevant programming language, an understanding of UI/UX principles and strong problem-solving skills. Knowledge and practical application of the Government Service Standards, Government Accessibility Regulations and Information Governance principles. Excellent written, verbal communication and presentational skills. Excellent customer service skills. Evidence of continuing professional development and expert knowledge in relevant professional area. To read more about us please visit: Corporate Services - Working for Essex Benefits Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. EEO & Equality Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our Recruiters if you require any reasonable adjustments during the process. We're also committed to interview all veterans and care leavers, who meet the minimum requirements of the role for which they are applying. As part of employment with Essex County Council (ECC) should your role require a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. Contact & Additional Information If you have queries on this role or require anything further, please email .
21/07/2026
Full time
Developer Fixed Term / Secondment (12 months), Full Time £52,571 to £61,848 per annum Location: Chelmsford Working Style: Anywhere worker Closing Date: 30th July 2026 This is a hybrid-working role contractually based in Chelmsford. You will work from the Chelmsford office at least one day per month, depending on business need. The role is to help us to implement and use a new Placecube Low Code system to create new resident-facing services. We are recruiting a number of Developer roles to cover the following: JavaScript / Type Script, HTML/CSS Java (Spring OSGi modules), REST API's, API design Middleware / ESB patterns. Experience of Liferay front end frameworks would be highly desirable. Essex County Council is ambitious and by 2030 it will be one of the most forward looking, effective and financially sustainable Councils in the country. ECC will be a leading-edge digital council that drives excellent customer service with transformation at the heart of service excellence. The Product and Delivery team will provide product leadership and direction for essex.gov.uk. They will develop a bold product vision, translating this into a roadmap of prioritised deliverables, planning and managing the different phases of the product delivery lifecycle, iterating a product over time to meet user needs, and ensuring products are built effectively, on time and to budget, setting high standards to ensure products meet user needs. The team will also be responsible for artificial intelligence (AI) and robotic process automation capabilities. This role will lead, monitor, optimise and continuously improve the delivery of software components so that the Council can provide simple user experiences and achieve better outcomes for people and businesses. They will be responsible for leading the team writing clean, accessible code that is open by default and easy for others to reuse, developing software which meets user needs and creates meaningful interactions and relationships with users. Role responsibilities Provide oversight for in-house product development to ensure it is contributing to delivering a secure, high performing and sustainable software engineering platform which continues to reduce risk, optimise performance and cost, and support innovation, including: Delivering secure, easy to use, high performing and sustainable frontend services and APIs that support rapid development and regular iteration of services that meet user needs. Leading a robust architecture approach that delivers effective, sustainable use of cloud services and that makes provision for future portability. Delivering secure, easy to use, high performing and sustainable components and microservices that support rapid development and regular iteration of services that meet user needs. Develop quality solutions which are supportable and maintainable, break down complex issues and business problems into elegant and simple solutions, adhere to good development practices and keep in mind opportunities to build common services and components that can be reused. Work closely with the Test Team to produce test plans. Evaluate supplier integration portals to understand the technical feasibility with our existing infrastructure and tech stack. Set the engineering standards and provide assurance that ECC's software solutions, micro services and solutions architecture continue to meet good practice standards and evolve to adopt practices role-modelled by digitally-native organisations globally. Work with the other senior members of the architecture, design and delivery teams to identify risks, assist in risk assessment, manage agreed actions, and monitor the status of risks on an ongoing basis. Actively review outcomes and feed these into future improvements. Use Agile methodology and apply an agile mindset to all aspects of your work. Create a fast-paced, evolving environment and use an iterative method and flexible approach to enable rapid delivery. Coach and lead teams in Agile practices, determining the right approach for the team to take and evaluating this through the life of a project, acting as a recognised expert and advocate for Agile approaches, continuously reflecting and challenging the team, promoting the generous sharing of expertise and creating opportunities for continuous learning and development. Specific individual and shared targets and objectives are defined annually within the performance management framework. Knowledge, Skills and Experience Educated to Degree level or equivalent in experience in a relevant subject. Experience of delivering digital projects and products/prototypes within a complex and diverse context. Evidence of delivering and using agile methods balancing multiple priorities, dealing with ambiguity and evidencing impact. Knowledge of relevant programming language, an understanding of UI/UX principles and strong problem-solving skills. Knowledge and practical application of the Government Service Standards, Government Accessibility Regulations and Information Governance principles. Excellent written, verbal communication and presentational skills. Excellent customer service skills. Evidence of continuing professional development and expert knowledge in relevant professional area. To read more about us please visit: Corporate Services - Working for Essex Benefits Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. EEO & Equality Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our Recruiters if you require any reasonable adjustments during the process. We're also committed to interview all veterans and care leavers, who meet the minimum requirements of the role for which they are applying. As part of employment with Essex County Council (ECC) should your role require a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. Contact & Additional Information If you have queries on this role or require anything further, please email .
Solution Architect Date: 17 Jul 2026 Location: Gatwick, GB Salary: Up to £70,000 per annum dependent upon experience Contract Type: Permanent - Full Time Security Level: SC Location: Gatwick - 2 Days per week office attendance required Visa Restrictions: This position does not offer visa sponsorship Closing Date: Sunday 2nd August 2026 Interview Date: W/C Monday 10th August 2026 We are the UK's aviation and aerospace regulator and recognised as a world leader in its field. Our activities are diverse, enabling the aviation industry to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment. The Role As a Solutions Architect, you will translate business and technical requirements into solution designs that address complex problems and deliver measurable outcomes. You will act as the primary architecture partner for assigned business areas or service area, helping shape technology roadmaps and ensuring delivery aligns with CAA strategy, enterprise architecture principles and long-term operational outcomes. Develop and maintain solution architectures based on functional and non-functional requirements, ensuring designs address business outcomes and align with organisational strategies, principles and standards. Act as the architecture partner for assigned business areas or service area, building domain understanding and supporting technology roadmap development with Product Managers and business stakeholders. Design end-to-end architectures and assure designs produced by internal teams, suppliers or third parties, ensuring compliance with architecture, security, accessibility and service standards. Promote reuse of platforms, services, patterns and capabilities to reduce duplication, technical debt and delivery risk. Participate in architecture governance, including design reviews, decision records, standards development and architecture assurance processes. Contribute to agile product teams where required, providing technical leadership, defining work packages and guiding architecture decisions. Produce architecture artefacts, models and diagrams using approved EA tooling. Manage technical risks, document key decisions transparently and provide architectural input into procurement and supplier engagement. Maintain awareness of emerging technologies, architectural patterns and industry trends, assessing their relevance to CAA challenges and opportunities. Design application and integration architectures where required, including secure integration patterns, API strategies, cloud-native principles and modern development approaches. About You Essential Skills and Experience Broad architectural knowledge across multiple domains, with the judgement to draw on specialist expertise where required. Experience translating business and technical requirements into pragmatic, secure and supportable solution designs. Experience working across waterfall, agile, product-centric or service-oriented delivery environments. Strong stakeholder engagement skills, including the ability to build trusted relationships, communicate clearly with technical and non-technical audiences, and influence without direct authority. Understanding of architecture principles, governance and assurance, and how to apply them proportionately in delivery. Experience with Microsoft technologies, including Azure, Entra ID, Dynamic CRM, Power Platform, web technologies and SQL Server. Knowledge of DevSecOps and CI/CD concepts. Excellent analytical and problem-solving skills applied collaboratively and inclusively. Ability to obtain and maintain SC security clearance Experience supporting product operating models, value stream design or business transformation initiatives. Experience working within a regulated environment. Experience with business capability modelling, value stream mapping or enterprise architecture practices. TOGAF certification or practical experience. Experience using EA tools such as iServer or equivalent architecture repositories. Experience with Azure DevOps tools for source control, CI/CD and backlog management. Experience working to GDS framework and service standards. Experience with modern application development approaches, including .NET, Azure services, APIs and modern web frameworks. Experience with secure data integration, identity, certificate-based trust, cryptographic services or location-based technologies. Demonstrates behaviours aligned with organisational values by being outcome-focused, ethical, collaborative, and adaptable. Takes ownership of decisions using evidence-based approaches, delivers value-centred solutions, and prioritises results that support strategic goals. Acts with integrity and self-awareness, continuously developing skills and capabilities. Builds strong relationships through clear, inclusive communication, knowledge sharing, and constructive feedback, while influencing and negotiating effectively. Embraces change with flexible thinking and drives continuous improvement through innovative approaches that enhance productivity and efficiency. Additional Information For many appointments within the CAA, these roles require access to operationally sensitive infrastructure and/or Nationally Protected information. For these roles the post holders must undergo National Security Vetting and achieve the appropriate level of clearance. SC - To be vetted we will usually expect a reasonable period of residency in the UK so that meaningful checks can be undertaken. For this role this will need to be 5 years. If you do not meet these requirements, we may not be able to accept your application. The CAA values high ethical standards and personal integrity among employees. If invited for interview you will be asked to complete a declaration of interest. Relocation & Property The CAA will be relocating from Aviation House (Our Gatwick Office) to new premises in a few years' time. Our move is driven by strategic, operational and environmental considerations. We will be moving to a new local home, up to a 15-mile radius of Aviation House, to minimise disruption for our valued colleagues and customers. We are now working with colleagues and visitors to understand what we need in our new office, before we start our property search. We will sell Aviation House and land, vacate the site and move to new premises, but we do not expect to move before 2028 Inclusive Recruitment We are committed to building a diverse and inclusive workforce and welcome applications from all backgrounds. As a Disability Confident employer, candidates who meet the minimum requirements will be guaranteed an interview. Find out more about the Disability Confident Scheme. If you require any adjustments during the recruitment process, please let us know. Use of Artificial Intelligence by candidates in the CAA recruitment process We recognise that many of our candidates find Artificial Intelligence to be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be rejected on that basis. Working With Us Explore What We Offer section on our careers website to find out about our benefits and how we support work-life balance. Our Values Do The Right Thing, Never Stop Learning, Build Collaborative Relationships, Respect Everyone - For more information please Click Here We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. No recruitment agencies please. Job Segment: Solution Architect, Information Technology, IT Architecture, Architecture, Developer, Technology, Engineering
21/07/2026
Full time
Solution Architect Date: 17 Jul 2026 Location: Gatwick, GB Salary: Up to £70,000 per annum dependent upon experience Contract Type: Permanent - Full Time Security Level: SC Location: Gatwick - 2 Days per week office attendance required Visa Restrictions: This position does not offer visa sponsorship Closing Date: Sunday 2nd August 2026 Interview Date: W/C Monday 10th August 2026 We are the UK's aviation and aerospace regulator and recognised as a world leader in its field. Our activities are diverse, enabling the aviation industry to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment. The Role As a Solutions Architect, you will translate business and technical requirements into solution designs that address complex problems and deliver measurable outcomes. You will act as the primary architecture partner for assigned business areas or service area, helping shape technology roadmaps and ensuring delivery aligns with CAA strategy, enterprise architecture principles and long-term operational outcomes. Develop and maintain solution architectures based on functional and non-functional requirements, ensuring designs address business outcomes and align with organisational strategies, principles and standards. Act as the architecture partner for assigned business areas or service area, building domain understanding and supporting technology roadmap development with Product Managers and business stakeholders. Design end-to-end architectures and assure designs produced by internal teams, suppliers or third parties, ensuring compliance with architecture, security, accessibility and service standards. Promote reuse of platforms, services, patterns and capabilities to reduce duplication, technical debt and delivery risk. Participate in architecture governance, including design reviews, decision records, standards development and architecture assurance processes. Contribute to agile product teams where required, providing technical leadership, defining work packages and guiding architecture decisions. Produce architecture artefacts, models and diagrams using approved EA tooling. Manage technical risks, document key decisions transparently and provide architectural input into procurement and supplier engagement. Maintain awareness of emerging technologies, architectural patterns and industry trends, assessing their relevance to CAA challenges and opportunities. Design application and integration architectures where required, including secure integration patterns, API strategies, cloud-native principles and modern development approaches. About You Essential Skills and Experience Broad architectural knowledge across multiple domains, with the judgement to draw on specialist expertise where required. Experience translating business and technical requirements into pragmatic, secure and supportable solution designs. Experience working across waterfall, agile, product-centric or service-oriented delivery environments. Strong stakeholder engagement skills, including the ability to build trusted relationships, communicate clearly with technical and non-technical audiences, and influence without direct authority. Understanding of architecture principles, governance and assurance, and how to apply them proportionately in delivery. Experience with Microsoft technologies, including Azure, Entra ID, Dynamic CRM, Power Platform, web technologies and SQL Server. Knowledge of DevSecOps and CI/CD concepts. Excellent analytical and problem-solving skills applied collaboratively and inclusively. Ability to obtain and maintain SC security clearance Experience supporting product operating models, value stream design or business transformation initiatives. Experience working within a regulated environment. Experience with business capability modelling, value stream mapping or enterprise architecture practices. TOGAF certification or practical experience. Experience using EA tools such as iServer or equivalent architecture repositories. Experience with Azure DevOps tools for source control, CI/CD and backlog management. Experience working to GDS framework and service standards. Experience with modern application development approaches, including .NET, Azure services, APIs and modern web frameworks. Experience with secure data integration, identity, certificate-based trust, cryptographic services or location-based technologies. Demonstrates behaviours aligned with organisational values by being outcome-focused, ethical, collaborative, and adaptable. Takes ownership of decisions using evidence-based approaches, delivers value-centred solutions, and prioritises results that support strategic goals. Acts with integrity and self-awareness, continuously developing skills and capabilities. Builds strong relationships through clear, inclusive communication, knowledge sharing, and constructive feedback, while influencing and negotiating effectively. Embraces change with flexible thinking and drives continuous improvement through innovative approaches that enhance productivity and efficiency. Additional Information For many appointments within the CAA, these roles require access to operationally sensitive infrastructure and/or Nationally Protected information. For these roles the post holders must undergo National Security Vetting and achieve the appropriate level of clearance. SC - To be vetted we will usually expect a reasonable period of residency in the UK so that meaningful checks can be undertaken. For this role this will need to be 5 years. If you do not meet these requirements, we may not be able to accept your application. The CAA values high ethical standards and personal integrity among employees. If invited for interview you will be asked to complete a declaration of interest. Relocation & Property The CAA will be relocating from Aviation House (Our Gatwick Office) to new premises in a few years' time. Our move is driven by strategic, operational and environmental considerations. We will be moving to a new local home, up to a 15-mile radius of Aviation House, to minimise disruption for our valued colleagues and customers. We are now working with colleagues and visitors to understand what we need in our new office, before we start our property search. We will sell Aviation House and land, vacate the site and move to new premises, but we do not expect to move before 2028 Inclusive Recruitment We are committed to building a diverse and inclusive workforce and welcome applications from all backgrounds. As a Disability Confident employer, candidates who meet the minimum requirements will be guaranteed an interview. Find out more about the Disability Confident Scheme. If you require any adjustments during the recruitment process, please let us know. Use of Artificial Intelligence by candidates in the CAA recruitment process We recognise that many of our candidates find Artificial Intelligence to be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be rejected on that basis. Working With Us Explore What We Offer section on our careers website to find out about our benefits and how we support work-life balance. Our Values Do The Right Thing, Never Stop Learning, Build Collaborative Relationships, Respect Everyone - For more information please Click Here We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. No recruitment agencies please. Job Segment: Solution Architect, Information Technology, IT Architecture, Architecture, Developer, Technology, Engineering
Job Title: Data Engineer Location: Long Stratton, Norfolk NR15 (Hybrid - Fortnightly Office Attendance) Contract: Permanent Hours: Full time (37 hours per week) Salary: £63,000 per annum About the Role This is an opportunity to join a growing Data & Analytics team and take ownership of a modern Azure data platform. You'll be responsible for building and maintaining data pipelines, developing data warehouse solutions, and supporting the organisation's move towards Microsoft Fabric. Responsibilities Design, build and maintain a scalable Azure-based data warehouse to support reporting, analytics and business intelligence requirements. Develop and maintain robust ETL/ELT processes, data integration frameworks and transformation pipelines using Azure Data Factory, Azure Synapse and Microsoft Fabric technologies. Support the implementation, optimisation and ongoing development of Microsoft Fabric, including Lakehouse, Warehouse, Data Engineering and Data Pipeline capabilities. Design and maintain efficient data models, ensuring data structures support both operational and analytical reporting requirements. Build reusable, parameterised and scalable data pipelines that integrate data from multiple internal and external sources. Monitor and maintain data pipelines, implementing automated alerting, logging and performance monitoring to ensure platform reliability. Work closely with BI Analysts and business stakeholders to understand data requirements and deliver scalable engineering solutions. Implement data quality controls, validation rules and automated testing processes to improve data accuracy and consistency. Support the development and maintenance of data governance standards, metadata management and technical documentation. Ensure compliance with GDPR and data security requirements across all data solutions. Contribute to cloud infrastructure decisions, platform optimisation and storage strategies to maximise performance and cost efficiency. Utilise Azure DevOps and Git to support CI/CD processes, version control and automated deployments. Provide technical guidance to colleagues and promote best practice across data engineering and platform development. Drive continuous improvement initiatives and identify opportunities to automate manual processes and enhance data accessibility across the organisation. Requirements Proven experience working as a Data Engineer, Azure Data Engineer, ETL Developer or similar role. Advanced SQL skills, including writing, optimising and troubleshooting complex queries, stored procedures and data transformations. Strong experience designing and building ETL/ELT pipelines using Azure Data Factory, Azure Synapse, Databricks, Airflow or similar technologies. Hands on experience working with Azure cloud data platforms, including Data Lake, Synapse Analytics and related services. Strong understanding of data warehousing concepts and data modelling methodologies, including star schema and dimensional modelling techniques. Experience designing scalable data architectures and integrating data from multiple systems and applications. Knowledge of CI/CD processes, source control and deployment automation using Azure DevOps, Git or similar tools. Experience implementing data quality, validation and monitoring processes. Strong understanding of data governance, security principles and GDPR requirements. Excellent problem solving skills with the ability to identify root causes and implement long term solutions. Strong communication skills with the ability to engage effectively with both technical and non technical stakeholders. Ability to manage multiple priorities and deliver high quality solutions within agreed timescales. Desirable Experience working with Microsoft Fabric, including Lakehouse, Warehouse and Data Pipelines. Knowledge of Python and/or Scala for data engineering and automation. Experience with Docker, Kubernetes or other containerisation technologies. Exposure to machine learning pipelines or MLOps frameworks. Experience with data quality frameworks such as Great Expectations. Knowledge of Dynamics365 or housing management systems. Microsoft Azure, SQL or Data Engineering certifications.
21/07/2026
Full time
Job Title: Data Engineer Location: Long Stratton, Norfolk NR15 (Hybrid - Fortnightly Office Attendance) Contract: Permanent Hours: Full time (37 hours per week) Salary: £63,000 per annum About the Role This is an opportunity to join a growing Data & Analytics team and take ownership of a modern Azure data platform. You'll be responsible for building and maintaining data pipelines, developing data warehouse solutions, and supporting the organisation's move towards Microsoft Fabric. Responsibilities Design, build and maintain a scalable Azure-based data warehouse to support reporting, analytics and business intelligence requirements. Develop and maintain robust ETL/ELT processes, data integration frameworks and transformation pipelines using Azure Data Factory, Azure Synapse and Microsoft Fabric technologies. Support the implementation, optimisation and ongoing development of Microsoft Fabric, including Lakehouse, Warehouse, Data Engineering and Data Pipeline capabilities. Design and maintain efficient data models, ensuring data structures support both operational and analytical reporting requirements. Build reusable, parameterised and scalable data pipelines that integrate data from multiple internal and external sources. Monitor and maintain data pipelines, implementing automated alerting, logging and performance monitoring to ensure platform reliability. Work closely with BI Analysts and business stakeholders to understand data requirements and deliver scalable engineering solutions. Implement data quality controls, validation rules and automated testing processes to improve data accuracy and consistency. Support the development and maintenance of data governance standards, metadata management and technical documentation. Ensure compliance with GDPR and data security requirements across all data solutions. Contribute to cloud infrastructure decisions, platform optimisation and storage strategies to maximise performance and cost efficiency. Utilise Azure DevOps and Git to support CI/CD processes, version control and automated deployments. Provide technical guidance to colleagues and promote best practice across data engineering and platform development. Drive continuous improvement initiatives and identify opportunities to automate manual processes and enhance data accessibility across the organisation. Requirements Proven experience working as a Data Engineer, Azure Data Engineer, ETL Developer or similar role. Advanced SQL skills, including writing, optimising and troubleshooting complex queries, stored procedures and data transformations. Strong experience designing and building ETL/ELT pipelines using Azure Data Factory, Azure Synapse, Databricks, Airflow or similar technologies. Hands on experience working with Azure cloud data platforms, including Data Lake, Synapse Analytics and related services. Strong understanding of data warehousing concepts and data modelling methodologies, including star schema and dimensional modelling techniques. Experience designing scalable data architectures and integrating data from multiple systems and applications. Knowledge of CI/CD processes, source control and deployment automation using Azure DevOps, Git or similar tools. Experience implementing data quality, validation and monitoring processes. Strong understanding of data governance, security principles and GDPR requirements. Excellent problem solving skills with the ability to identify root causes and implement long term solutions. Strong communication skills with the ability to engage effectively with both technical and non technical stakeholders. Ability to manage multiple priorities and deliver high quality solutions within agreed timescales. Desirable Experience working with Microsoft Fabric, including Lakehouse, Warehouse and Data Pipelines. Knowledge of Python and/or Scala for data engineering and automation. Experience with Docker, Kubernetes or other containerisation technologies. Exposure to machine learning pipelines or MLOps frameworks. Experience with data quality frameworks such as Great Expectations. Knowledge of Dynamics365 or housing management systems. Microsoft Azure, SQL or Data Engineering certifications.
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
21/07/2026
Full time
About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job Responsibilities Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls. Develops secure high-quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices. Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services. Designs, builds, and operates Kubernetes-based platform services; automates developer self-service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy-as-code, and hardening standards. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading-edge technologies. Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams. Adds to team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience. Hands on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments. Advanced in one or more programming language(s), such as Go, Java or Kotlin. Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern. Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent. Experience with GitOps workflows.
21/07/2026
Full time
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job Responsibilities Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls. Develops secure high-quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices. Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services. Designs, builds, and operates Kubernetes-based platform services; automates developer self-service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy-as-code, and hardening standards. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading-edge technologies. Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams. Adds to team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience. Hands on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments. Advanced in one or more programming language(s), such as Go, Java or Kotlin. Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern. Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent. Experience with GitOps workflows.
Senior Business Intelligence Developer (Infor EPM v12 Cloud) Based in London 2 days a week and at home 3 days Salary up to £85,000 Overview An established organisation is seeking a Senior Business Intelligence Developer with extensive experience of Infor EPM v12 Cloud to play a key role in the ongoing development, enhancement, and support of its enterprise reporting and performance management environment. The successful candidate will combine strong technical expertise with a solid understanding of financial and operational reporting processes. Working closely with finance teams, technical colleagues, and business stakeholders, you will help deliver robust reporting solutions, optimise system performance, and contribute to the strategic evolution of the organisation's analytics and planning capabilities. Key Responsibilities Design, develop, and maintain reporting, dashboard, and analytical solutions within the Infor EPM v12 Cloud platform. Enhance and optimise application structures, business rules, calculations, and multidimensional models. Investigate and resolve complex technical, functional, and performance-related issues. Develop and support data integration processes, including Data Lake implementations and associated workflows. Build and maintain API-based integrations between Infor EPM and third party business applications. Monitor platform performance and implement improvements to maximise efficiency, stability, and scalability. Provide technical support for budgeting, forecasting, planning, consolidation, and financial reporting activities. Collaborate with key business stakeholders to translate reporting and planning requirements into practical technical solutions. Promote and maintain best practice in data quality, governance, security, and system administration. Act as a technical mentor, providing guidance and support to less experienced developers and support personnel. Produce and maintain technical documentation, development standards, and operational procedures. Contribute to testing, release management, system enhancements, and platform upgrades. Essential Experience Demonstrable hands on experience with Infor EPM v12 Cloud in a development and support capacity. Strong background in creating and maintaining reports, dashboards, and analytical applications within Infor EPM. Advanced knowledge of EPM modelling, business rules, application engine functionality, and associated platform components. Experience implementing and managing Data Lake solutions and related data management processes. Proven experience integrating applications through APIs, web services, or similar technologies. Strong SQL and data manipulation skills. Excellent troubleshooting capabilities across application, performance, integration, and data related issues. Good understanding of financial planning, budgeting, forecasting, and management reporting processes. Strong communication skills with the ability to work effectively with both technical and non technical stakeholders. Ability to manage competing priorities and deliver solutions within agreed timescales. Desirable Experience Exposure to Infor Data Fabric and wider Infor technologies. Experience working with Microsoft Azure data and integration services. Knowledge of ETL processes, data warehousing, and enterprise data architecture. Familiarity with Power BI or comparable business intelligence platforms. Degree, professional qualification, or equivalent experience in Computing, Information Technology, Data Analytics, Finance, or a related field. What's on Offer Opportunity to take ownership of a business critical Infor EPM environment. Involvement in strategic reporting, planning, and analytics initiatives. Exposure to enterprise scale data integration and cloud technologies. Collaborative working environment with opportunities to influence technical direction and best practice. Ongoing professional development and progression opportunities within a growing technology function.
20/07/2026
Full time
Senior Business Intelligence Developer (Infor EPM v12 Cloud) Based in London 2 days a week and at home 3 days Salary up to £85,000 Overview An established organisation is seeking a Senior Business Intelligence Developer with extensive experience of Infor EPM v12 Cloud to play a key role in the ongoing development, enhancement, and support of its enterprise reporting and performance management environment. The successful candidate will combine strong technical expertise with a solid understanding of financial and operational reporting processes. Working closely with finance teams, technical colleagues, and business stakeholders, you will help deliver robust reporting solutions, optimise system performance, and contribute to the strategic evolution of the organisation's analytics and planning capabilities. Key Responsibilities Design, develop, and maintain reporting, dashboard, and analytical solutions within the Infor EPM v12 Cloud platform. Enhance and optimise application structures, business rules, calculations, and multidimensional models. Investigate and resolve complex technical, functional, and performance-related issues. Develop and support data integration processes, including Data Lake implementations and associated workflows. Build and maintain API-based integrations between Infor EPM and third party business applications. Monitor platform performance and implement improvements to maximise efficiency, stability, and scalability. Provide technical support for budgeting, forecasting, planning, consolidation, and financial reporting activities. Collaborate with key business stakeholders to translate reporting and planning requirements into practical technical solutions. Promote and maintain best practice in data quality, governance, security, and system administration. Act as a technical mentor, providing guidance and support to less experienced developers and support personnel. Produce and maintain technical documentation, development standards, and operational procedures. Contribute to testing, release management, system enhancements, and platform upgrades. Essential Experience Demonstrable hands on experience with Infor EPM v12 Cloud in a development and support capacity. Strong background in creating and maintaining reports, dashboards, and analytical applications within Infor EPM. Advanced knowledge of EPM modelling, business rules, application engine functionality, and associated platform components. Experience implementing and managing Data Lake solutions and related data management processes. Proven experience integrating applications through APIs, web services, or similar technologies. Strong SQL and data manipulation skills. Excellent troubleshooting capabilities across application, performance, integration, and data related issues. Good understanding of financial planning, budgeting, forecasting, and management reporting processes. Strong communication skills with the ability to work effectively with both technical and non technical stakeholders. Ability to manage competing priorities and deliver solutions within agreed timescales. Desirable Experience Exposure to Infor Data Fabric and wider Infor technologies. Experience working with Microsoft Azure data and integration services. Knowledge of ETL processes, data warehousing, and enterprise data architecture. Familiarity with Power BI or comparable business intelligence platforms. Degree, professional qualification, or equivalent experience in Computing, Information Technology, Data Analytics, Finance, or a related field. What's on Offer Opportunity to take ownership of a business critical Infor EPM environment. Involvement in strategic reporting, planning, and analytics initiatives. Exposure to enterprise scale data integration and cloud technologies. Collaborative working environment with opportunities to influence technical direction and best practice. Ongoing professional development and progression opportunities within a growing technology function.
Overview Engineering Hybrid Remote, London, United Kingdom We're looking for a passionate and experienced software engineer to join our growing API & Exports team at Meltwater. This team is responsible for enabling programmatic access to data across the app-handling thousands of exports daily, improving API usability, and managing API integrations and performance at scale. You will work on expanding and optimizing our export functionalities, building scalable APIs, and integrating robust monitoring and management. This is a high-impact team working at the core of our data delivery platform. As part of the API team, you will build the next generation of Meltwater's AI and platform capabilities, focused on MCP (Model Context Protocol), OAuth, permissions, and enterprise-grade governance. Your work will help bring Meltwater's intelligence into external AI workflows. What You'll Do Own the design, development, and optimization of API, export and MCP features. Collaborate closely with product managers and senior engineers to define functionality, while architecting systems that handle high-throughput data pipelines. Participate in building robust export pipelines, streaming architectures, webhook integrations and MCP servers. Maintain high observability and reliability standards using tools like Coralogix, CloudWatch, and Grafana. Participate in on-call rotation and incident response for owned services. What You'll Bring 4+ years of software engineering experience with a strong backend focus. Proficiency in Golang is required. Demonstrated ability in using AI-augmented development workflows (e.g., Claude, Codex, Copilot). Experience designing and developing resilient REST APIs and cloud-native applications (preferably AWS). Good understanding of microservice architecture and backend design principles. Solid knowledge of Postgres, Redis, and ideally DynamoDB. Nice-to-Have Familiarity with asynchronous or event-driven architectures using tools like SQS, SNS, or webhooks. Exposure to DevOps workflows and tools (Terraform, Docker, Kubernetes, etc.). Experience working with data exports, reporting systems, or data streaming. Experience improving developer experience around APIs (e.g. OpenAPI, Swagger, static site generators). Familiarity with authentication, API gateways, and rate limiting strategies. Experience in compliance standards for APIs and data handling. Experience with observability tools and practices. Languages: Golang (primary) with some TypeScript Monitoring: Coralogix, Grafana, CloudWatch CI/CD & IaC: GitHub Actions, Terraform What We Offer Generous paid time off and flexible working arrangements. Comprehensive health insurance and wellness benefits. Family leave program that grows with your tenure. Inclusive work culture with a global team across 25+ countries. Opportunities to learn and grow-from new tech to leadership skills. About Meltwater At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Where You'll Work: 7th floor, 20 Farringdon Street, London, EC4A 4AB Equal Opportunity Employer Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. We are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information, capturing interview notes, and supporting interview activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws
20/07/2026
Full time
Overview Engineering Hybrid Remote, London, United Kingdom We're looking for a passionate and experienced software engineer to join our growing API & Exports team at Meltwater. This team is responsible for enabling programmatic access to data across the app-handling thousands of exports daily, improving API usability, and managing API integrations and performance at scale. You will work on expanding and optimizing our export functionalities, building scalable APIs, and integrating robust monitoring and management. This is a high-impact team working at the core of our data delivery platform. As part of the API team, you will build the next generation of Meltwater's AI and platform capabilities, focused on MCP (Model Context Protocol), OAuth, permissions, and enterprise-grade governance. Your work will help bring Meltwater's intelligence into external AI workflows. What You'll Do Own the design, development, and optimization of API, export and MCP features. Collaborate closely with product managers and senior engineers to define functionality, while architecting systems that handle high-throughput data pipelines. Participate in building robust export pipelines, streaming architectures, webhook integrations and MCP servers. Maintain high observability and reliability standards using tools like Coralogix, CloudWatch, and Grafana. Participate in on-call rotation and incident response for owned services. What You'll Bring 4+ years of software engineering experience with a strong backend focus. Proficiency in Golang is required. Demonstrated ability in using AI-augmented development workflows (e.g., Claude, Codex, Copilot). Experience designing and developing resilient REST APIs and cloud-native applications (preferably AWS). Good understanding of microservice architecture and backend design principles. Solid knowledge of Postgres, Redis, and ideally DynamoDB. Nice-to-Have Familiarity with asynchronous or event-driven architectures using tools like SQS, SNS, or webhooks. Exposure to DevOps workflows and tools (Terraform, Docker, Kubernetes, etc.). Experience working with data exports, reporting systems, or data streaming. Experience improving developer experience around APIs (e.g. OpenAPI, Swagger, static site generators). Familiarity with authentication, API gateways, and rate limiting strategies. Experience in compliance standards for APIs and data handling. Experience with observability tools and practices. Languages: Golang (primary) with some TypeScript Monitoring: Coralogix, Grafana, CloudWatch CI/CD & IaC: GitHub Actions, Terraform What We Offer Generous paid time off and flexible working arrangements. Comprehensive health insurance and wellness benefits. Family leave program that grows with your tenure. Inclusive work culture with a global team across 25+ countries. Opportunities to learn and grow-from new tech to leadership skills. About Meltwater At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Where You'll Work: 7th floor, 20 Farringdon Street, London, EC4A 4AB Equal Opportunity Employer Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. We are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information, capturing interview notes, and supporting interview activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws
Our consultants combine creative problem solving, innovative technologies and proven implementation skills to deliver solutions that can give our clients' business a competitive edge. We provides IT consultancy, bespoke application development, project management and technical resourcing services to clients across diverse markets. If you are interested working with us, below are the current openings we have, so please apply by sending your cv at by mentioning the job title in the subject of the email. Join the team IoT - Software Developer Industry Experience: 2 Years + Desired Skills: Apache Kafka, Spark Streaming and EMS messaging suite Hbase, Cassandra, Core Spark Geneos, Kibana with Logstash and beats MongoDB, Apache CouchDB and Elasticsearch nosql data stores alongside Oracle RAC and Microsoft SQL Server Cluster Python, Perl, Angular2, Flask, Shell Having some knowledge of Java framework is beneficial Not essential to have knowledge of all the above listed tools and technologies, but the more the better Desired Experience: Experience in working with workflow management abstractions like Luigi, AirFlow and Azkaban Experience in building near real time streaming platform using Kafka, Spark Streaming, Core Spark, HBase, Cassandra and DataStax tools Experience working with multiple types of sensors, and data gateways Preferred to have working experience with Microsoft IoT tools (not mandatory) If you have similar experience i.e. you have experience in above areas but using different toolsets, that is fine as well Qualifications: Bachelor Degree (preferred in any Science subject) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Maths & Computing subjects with some Certificate or Diploma in any Programming Languages. Duties: To develop the IoT integrations as per project delivery requirements Developing live and batch data streaming services for IoT devices To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases DevOps - Programmer Industry Experience: 2 Year+ Desired Skills: Desired Experience: Qualifications: Bachelor Degree (preferred in Computer science or Networking) or A Levels with Computing with some Certificate or Diploma in Programming Languages or IT Toolsets listed above. Duties: To develop the required platform environments as per project delivery requirements Help designing the code merging working environment, and CI / CD structures for deployments of projects To work with peer programmers, software developers & Solution Designers to understand the detail of the project requirement and proposed solutions and accordingly develop the integration, environment, and continuous deployment framework using different programming languages and tools e.g., Jenkins etc To liaise with Project Manager and PMO team and follow the task and timelines and report progress and delays Highlight any risk and issues to deployment completion timelines to PMO team To work with co-team members and developers and support Testing phases, as multiple test runs may be needed to execute in parallel, so support that Big Data - Software Developer Industry Experience: 2 Years + Desired Skills: Big Data - Hadoop, MapReduce, HDFS, Hive, Java (jdk1.6), Hadoop distributions of Horton Works or Cloudera or better to have latest merged frameworks experience MapR, Pig, Hive, Python, Sqoop, Spark, Mesos, luigi, Azkaban, Yarn Kafka, Oozie, Zookeeper, Gangilia AWS Suite - EC2, EMR, Redshift and similar tools ETL Tools - Business Objects Data Integrator r2/r3.2, Data Quality, Data Insight, Data Federator, Universe Data Cleanse (UDC) Databases - Oracle 9i/10g, SQL Server 2005/2008 (SSIS,SSAS, SSRS) No SQL Databases including Open Source DBs. Mongo DB or Graph QL etc. Not essential to know all the above listed tools and technologies, but preference to know most or equivalent / similar tools Desired Experience: Working experience building, designing, configuring medium to large scale Hadoop environments Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Big Data eco system Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Spark, Kafka, Zookeeper, Yarn Experienced in monitoring Hadoop cluster environment using Ganglia Experienced on working with Big Data, Spark, Scala and Hadoop File System (HDFS) Experienced on working with different Big Data variants like on Cloud (AWS, Azure), or on premises (Native, Cloudera and Hortonworks) Strong knowledge of Hadoop and Hive and Hive's analytical functions If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well Qualifications: Bachelor Degree (preferred in any Science) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Computing with some Certificate or Diploma courses in Programming Languages or Databases designing or relevant to above required skills) Duties: To develop on Big Data technologies as per project delivery requirements Developing data ingestions and data structuring for optimised storage and bulk processing of data Importing and exporting data into HDFS and Hive using Sqoop and other similar tools and utilities e.g., Microsoft Azure Data Factory etc Load and transform large sets of structured, semi structured and unstructured data sets To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases Data - Programmer Industry Experience: 2 Year+ Desired Skills: Modelling Tools - Erwin, Power Designer, MS Visio Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence MapReduce, Pig & Python ETL Tools - BODS, Informatica SQL Analyzer - SQL, PL-SQL Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages Desired Experience: Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects Experience of working on data migration projects, or been involved in supporting data side of the migration's life cycles Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema Experience in code specifications and OLAP Analysis and Design Experience of using Business Object and creation of Universes, creation of reports and Info views Knowledge and experience of SSIS / SSRS / SSAS Experience of solving technical problems related to data Experience with data profiling and data classification exercise Experience in Data cleanse approach and tools, automation of the manual data cleanse logics Experience of analysing data sets to determine optimal way to aggregate and report on it Qualifications: Bachelor Degree (preferred in Computer Science or Mathematics or Statistics) or A Levels with Mathematics with a Certificate or Diploma in Structures Programming Languages or Relational or Non-SQL Databases. Duties: Work on data centric projects, like Data Migrations or Data Cleanse Projects To automate the data cleanse routines or to automate the data generation as required for projects during data migrations, or testing and performance testing scenarios . click apply for full job details
20/07/2026
Full time
Our consultants combine creative problem solving, innovative technologies and proven implementation skills to deliver solutions that can give our clients' business a competitive edge. We provides IT consultancy, bespoke application development, project management and technical resourcing services to clients across diverse markets. If you are interested working with us, below are the current openings we have, so please apply by sending your cv at by mentioning the job title in the subject of the email. Join the team IoT - Software Developer Industry Experience: 2 Years + Desired Skills: Apache Kafka, Spark Streaming and EMS messaging suite Hbase, Cassandra, Core Spark Geneos, Kibana with Logstash and beats MongoDB, Apache CouchDB and Elasticsearch nosql data stores alongside Oracle RAC and Microsoft SQL Server Cluster Python, Perl, Angular2, Flask, Shell Having some knowledge of Java framework is beneficial Not essential to have knowledge of all the above listed tools and technologies, but the more the better Desired Experience: Experience in working with workflow management abstractions like Luigi, AirFlow and Azkaban Experience in building near real time streaming platform using Kafka, Spark Streaming, Core Spark, HBase, Cassandra and DataStax tools Experience working with multiple types of sensors, and data gateways Preferred to have working experience with Microsoft IoT tools (not mandatory) If you have similar experience i.e. you have experience in above areas but using different toolsets, that is fine as well Qualifications: Bachelor Degree (preferred in any Science subject) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Maths & Computing subjects with some Certificate or Diploma in any Programming Languages. Duties: To develop the IoT integrations as per project delivery requirements Developing live and batch data streaming services for IoT devices To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases DevOps - Programmer Industry Experience: 2 Year+ Desired Skills: Desired Experience: Qualifications: Bachelor Degree (preferred in Computer science or Networking) or A Levels with Computing with some Certificate or Diploma in Programming Languages or IT Toolsets listed above. Duties: To develop the required platform environments as per project delivery requirements Help designing the code merging working environment, and CI / CD structures for deployments of projects To work with peer programmers, software developers & Solution Designers to understand the detail of the project requirement and proposed solutions and accordingly develop the integration, environment, and continuous deployment framework using different programming languages and tools e.g., Jenkins etc To liaise with Project Manager and PMO team and follow the task and timelines and report progress and delays Highlight any risk and issues to deployment completion timelines to PMO team To work with co-team members and developers and support Testing phases, as multiple test runs may be needed to execute in parallel, so support that Big Data - Software Developer Industry Experience: 2 Years + Desired Skills: Big Data - Hadoop, MapReduce, HDFS, Hive, Java (jdk1.6), Hadoop distributions of Horton Works or Cloudera or better to have latest merged frameworks experience MapR, Pig, Hive, Python, Sqoop, Spark, Mesos, luigi, Azkaban, Yarn Kafka, Oozie, Zookeeper, Gangilia AWS Suite - EC2, EMR, Redshift and similar tools ETL Tools - Business Objects Data Integrator r2/r3.2, Data Quality, Data Insight, Data Federator, Universe Data Cleanse (UDC) Databases - Oracle 9i/10g, SQL Server 2005/2008 (SSIS,SSAS, SSRS) No SQL Databases including Open Source DBs. Mongo DB or Graph QL etc. Not essential to know all the above listed tools and technologies, but preference to know most or equivalent / similar tools Desired Experience: Working experience building, designing, configuring medium to large scale Hadoop environments Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Big Data eco system Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Spark, Kafka, Zookeeper, Yarn Experienced in monitoring Hadoop cluster environment using Ganglia Experienced on working with Big Data, Spark, Scala and Hadoop File System (HDFS) Experienced on working with different Big Data variants like on Cloud (AWS, Azure), or on premises (Native, Cloudera and Hortonworks) Strong knowledge of Hadoop and Hive and Hive's analytical functions If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well Qualifications: Bachelor Degree (preferred in any Science) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Computing with some Certificate or Diploma courses in Programming Languages or Databases designing or relevant to above required skills) Duties: To develop on Big Data technologies as per project delivery requirements Developing data ingestions and data structuring for optimised storage and bulk processing of data Importing and exporting data into HDFS and Hive using Sqoop and other similar tools and utilities e.g., Microsoft Azure Data Factory etc Load and transform large sets of structured, semi structured and unstructured data sets To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases Data - Programmer Industry Experience: 2 Year+ Desired Skills: Modelling Tools - Erwin, Power Designer, MS Visio Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence MapReduce, Pig & Python ETL Tools - BODS, Informatica SQL Analyzer - SQL, PL-SQL Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages Desired Experience: Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects Experience of working on data migration projects, or been involved in supporting data side of the migration's life cycles Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema Experience in code specifications and OLAP Analysis and Design Experience of using Business Object and creation of Universes, creation of reports and Info views Knowledge and experience of SSIS / SSRS / SSAS Experience of solving technical problems related to data Experience with data profiling and data classification exercise Experience in Data cleanse approach and tools, automation of the manual data cleanse logics Experience of analysing data sets to determine optimal way to aggregate and report on it Qualifications: Bachelor Degree (preferred in Computer Science or Mathematics or Statistics) or A Levels with Mathematics with a Certificate or Diploma in Structures Programming Languages or Relational or Non-SQL Databases. Duties: Work on data centric projects, like Data Migrations or Data Cleanse Projects To automate the data cleanse routines or to automate the data generation as required for projects during data migrations, or testing and performance testing scenarios . click apply for full job details
