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!
United States Digital Space LLC
Bedford, Bedfordshire
Job Reference MaPS01238 Principal Software Developer £90,000 per annum Bedford Permanent Hybrid Working Join us at the company (MaPS) as a Principal Software Engineer with deep front end expertise to lead and strengthen our React, Next.js and front end engineering capability. This is a front end led role with broader full stack awareness: you'll spend most of your time shaping front end architecture, reusable patterns, accessibility, design systems and engineering standards, while also working confidently with Azure cloud services, API integration and CI/CD. You'll lead the React / Front End Community of Practice, mentor senior and lead engineers, and support teams where your expertise is most needed. This could include leading key initiatives, embedding with teams to solve complex engineering challenges, guiding the evolution of our design system and component library, or helping teams make pragmatic decisions across the front end and integration layer. Key Responsibilities Provide hands on technical leadership across multiple teams, embedding where needed to solve complex front end engineering challenges, reduce technical risk, establish reusable patterns and align implementation with wider technology strategy. Define and evolve front end architecture, frameworks, standards and engineering practices, particularly across React, Next.js and the front end platform, ensuring approaches are scalable, maintainable and aligned with organisational goals. Drive the technical implementation for the design system and component library, collaborating with product, design and engineering to support adoption, technical governance, reuse and a consistent user experience. Establish and promote front end engineering quality standards, including testing, accessibility, secure by design practices, code review, documentation, observability and maintainability. Partner with the Software Engineering Manager, architects and technical leads to identify and mitigate technical risks, dependencies and architectural constraints that may affect delivery predictability. Collaborate with DevOps, platform and architecture teams to define effective front end deployment, CI/CD, hosting and integration patterns, including technologies such as Netlify and Azure. Support teams in embedding relevant standards, including accessibility, GDS Service Manual expectations, security and compliance requirements, through tooling, guidance, coaching and reusable implementation patterns. Lead the front end/JavaScript community of practice, facilitating collaboration, sharing best practice, aligning standards and supporting adoption across teams. Mentor senior and lead engineers, providing technical coaching and mentoring to senior and lead engineers, helping improve engineering judgement, technical decision making and consistency of implementation across teams. Drive high quality technical documentation, knowledge sharing and decision recording practices to improve consistency, reuse and long term maintainability. Advise on emerging industry trends, tools and practices, including responsible use of AI assisted development, identifying where adoption would provide meaningful value while maintaining appropriate engineering standards. Lead or facilitate technical discussions with internal stakeholders and external delivery partners, ensuring front end technical decisions are coherent, sustainable and aligned with agreed architecture and engineering standards. Essential Skills and Experience Significant experience operating at principal, staff, lead or equivalent level, providing technical leadership across multiple teams or services, not only within a single delivery team. Expert knowledge of modern front end engineering, with deep experience of JavaScript, TypeScript, React and Next.js in production scale environments. Demonstrable experience defining front end architecture, engineering standards, reusable patterns and technical strategy that have been adopted across teams or products. Experience leading technical decision making for complex front end platforms, including trade off analysis, risk management, maintainability, scalability and long term operability. Strong experience designing, building or governing shared front end platforms, component libraries, design systems or reusable engineering tooling. Experience improving engineering quality across teams, including testing strategy, accessibility, secure by design practices, code review, documentation, observability and maintainability. Strong understanding of front end performance, user experience and Core Web Vitals, with experience identifying and addressing performance issues in complex applications. Strong experience with accessibility, semantic HTML, ARIA and inclusive design implementation, with the ability to coach teams on practical adoption. Experience working with CI/CD pipelines and modern delivery practices, such as GitHub Actions or Azure DevOps Pipelines, and influencing deployment patterns for front end applications. Experience collaborating with architecture, platform, DevOps, product, design, testing and delivery colleagues to shape technical direction and improve delivery outcomes. Strong understanding of API integration patterns, including REST APIs and GraphQL, and the implications of these patterns for front end architecture and user experience. Awareness of secure by design principles, OWASP guidance and software quality tooling such as SonarCloud, with the ability to embed these expectations into front end ways of working. Experience mentoring senior and lead engineers, improving technical leadership capability and supporting consistent technical decision making across an engineering community. Demonstrable commitment to robust, maintainable and sustainable engineering practices, including clear documentation, technical decision records and knowledge sharing. Ability to lead or facilitate technical discussions with senior stakeholders, internal teams and external delivery partners, translating complex technical issues into clear recommendations. Experience with Azure services, or equivalent AWS/GCP services, relevant to modern web application delivery, such as Azure Functions, App Services, Entra ID, Cosmos DB, API Management, Redis or App Configuration. Desirable Skills Experience leading or significantly contributing to a front end, JavaScript, React or engineering community of practice. Experience with Netlify, including deployment configuration, serverless functions, edge capabilities or blob storage. Experience with Node.js in the context of front end platforms, API integration, tooling, build pipelines or server side rendering. Experience with non relational databases such as Cosmos DB or MongoDB, particularly where relevant to full stack or integration patterns. Experience with monorepo architecture and tooling such as Nx, Turborepo or similar approaches for managing shared front end codebases. Experience with design system tooling and workflows, such as Storybook, visual regression testing, component documentation and design to development governance. Experience implementing or integrating with Content Management Systems, such as Wagtail and headless CMS approaches. Experience with monitoring and observability tools such as Azure Monitor, Log Analytics Workspace or equivalent platforms. Experience with tag management, analytics and experimentation implementations, such as Google Tag Manager, Google Analytics or Adobe tooling. Experience with CSS architecture at scale, including mobile first responsive design, design tokens and frameworks such as Tailwind. Experience with other programming languages such as C#, Python or similar, particularly where this supports collaboration across full stack or platform teams. Experience evaluating or guiding responsible use of AI assisted development tools while maintaining appropriate engineering quality, security and governance standards. Line management experience, or experience supporting engineer development through mentoring, coaching, pairing, technical feedback and contribution to engineering career frameworks. Benefits Generous Annual Leave - 30 days plus Bank Holidays Pension scheme - contributions matched 2 to 1 (employer contribution up to 10% of your salary) Interest free loan for season tickets for buses and trains Cycle to work Scheme Subsidised eye tests & flu jabs Life assurance scheme Give as you earn scheme Employee assistance programme (EAP) PAM Assist and PAM Life scheme (Wellbeing) Enhanced family and sick pay Paid volunteering (2 days a year) Recognition Scheme Discounts portal to numerous retailers Hybrid Working We take pride in our flexible approach to work. As standard, we work on a hybrid basis with a minimum of 2 days in the office per month. Hybrid working is a voluntary, non contractual arrangement and our headquarters in Bedford will be your contractual place of work.
22/07/2026
Full time
Job Reference MaPS01238 Principal Software Developer £90,000 per annum Bedford Permanent Hybrid Working Join us at the company (MaPS) as a Principal Software Engineer with deep front end expertise to lead and strengthen our React, Next.js and front end engineering capability. This is a front end led role with broader full stack awareness: you'll spend most of your time shaping front end architecture, reusable patterns, accessibility, design systems and engineering standards, while also working confidently with Azure cloud services, API integration and CI/CD. You'll lead the React / Front End Community of Practice, mentor senior and lead engineers, and support teams where your expertise is most needed. This could include leading key initiatives, embedding with teams to solve complex engineering challenges, guiding the evolution of our design system and component library, or helping teams make pragmatic decisions across the front end and integration layer. Key Responsibilities Provide hands on technical leadership across multiple teams, embedding where needed to solve complex front end engineering challenges, reduce technical risk, establish reusable patterns and align implementation with wider technology strategy. Define and evolve front end architecture, frameworks, standards and engineering practices, particularly across React, Next.js and the front end platform, ensuring approaches are scalable, maintainable and aligned with organisational goals. Drive the technical implementation for the design system and component library, collaborating with product, design and engineering to support adoption, technical governance, reuse and a consistent user experience. Establish and promote front end engineering quality standards, including testing, accessibility, secure by design practices, code review, documentation, observability and maintainability. Partner with the Software Engineering Manager, architects and technical leads to identify and mitigate technical risks, dependencies and architectural constraints that may affect delivery predictability. Collaborate with DevOps, platform and architecture teams to define effective front end deployment, CI/CD, hosting and integration patterns, including technologies such as Netlify and Azure. Support teams in embedding relevant standards, including accessibility, GDS Service Manual expectations, security and compliance requirements, through tooling, guidance, coaching and reusable implementation patterns. Lead the front end/JavaScript community of practice, facilitating collaboration, sharing best practice, aligning standards and supporting adoption across teams. Mentor senior and lead engineers, providing technical coaching and mentoring to senior and lead engineers, helping improve engineering judgement, technical decision making and consistency of implementation across teams. Drive high quality technical documentation, knowledge sharing and decision recording practices to improve consistency, reuse and long term maintainability. Advise on emerging industry trends, tools and practices, including responsible use of AI assisted development, identifying where adoption would provide meaningful value while maintaining appropriate engineering standards. Lead or facilitate technical discussions with internal stakeholders and external delivery partners, ensuring front end technical decisions are coherent, sustainable and aligned with agreed architecture and engineering standards. Essential Skills and Experience Significant experience operating at principal, staff, lead or equivalent level, providing technical leadership across multiple teams or services, not only within a single delivery team. Expert knowledge of modern front end engineering, with deep experience of JavaScript, TypeScript, React and Next.js in production scale environments. Demonstrable experience defining front end architecture, engineering standards, reusable patterns and technical strategy that have been adopted across teams or products. Experience leading technical decision making for complex front end platforms, including trade off analysis, risk management, maintainability, scalability and long term operability. Strong experience designing, building or governing shared front end platforms, component libraries, design systems or reusable engineering tooling. Experience improving engineering quality across teams, including testing strategy, accessibility, secure by design practices, code review, documentation, observability and maintainability. Strong understanding of front end performance, user experience and Core Web Vitals, with experience identifying and addressing performance issues in complex applications. Strong experience with accessibility, semantic HTML, ARIA and inclusive design implementation, with the ability to coach teams on practical adoption. Experience working with CI/CD pipelines and modern delivery practices, such as GitHub Actions or Azure DevOps Pipelines, and influencing deployment patterns for front end applications. Experience collaborating with architecture, platform, DevOps, product, design, testing and delivery colleagues to shape technical direction and improve delivery outcomes. Strong understanding of API integration patterns, including REST APIs and GraphQL, and the implications of these patterns for front end architecture and user experience. Awareness of secure by design principles, OWASP guidance and software quality tooling such as SonarCloud, with the ability to embed these expectations into front end ways of working. Experience mentoring senior and lead engineers, improving technical leadership capability and supporting consistent technical decision making across an engineering community. Demonstrable commitment to robust, maintainable and sustainable engineering practices, including clear documentation, technical decision records and knowledge sharing. Ability to lead or facilitate technical discussions with senior stakeholders, internal teams and external delivery partners, translating complex technical issues into clear recommendations. Experience with Azure services, or equivalent AWS/GCP services, relevant to modern web application delivery, such as Azure Functions, App Services, Entra ID, Cosmos DB, API Management, Redis or App Configuration. Desirable Skills Experience leading or significantly contributing to a front end, JavaScript, React or engineering community of practice. Experience with Netlify, including deployment configuration, serverless functions, edge capabilities or blob storage. Experience with Node.js in the context of front end platforms, API integration, tooling, build pipelines or server side rendering. Experience with non relational databases such as Cosmos DB or MongoDB, particularly where relevant to full stack or integration patterns. Experience with monorepo architecture and tooling such as Nx, Turborepo or similar approaches for managing shared front end codebases. Experience with design system tooling and workflows, such as Storybook, visual regression testing, component documentation and design to development governance. Experience implementing or integrating with Content Management Systems, such as Wagtail and headless CMS approaches. Experience with monitoring and observability tools such as Azure Monitor, Log Analytics Workspace or equivalent platforms. Experience with tag management, analytics and experimentation implementations, such as Google Tag Manager, Google Analytics or Adobe tooling. Experience with CSS architecture at scale, including mobile first responsive design, design tokens and frameworks such as Tailwind. Experience with other programming languages such as C#, Python or similar, particularly where this supports collaboration across full stack or platform teams. Experience evaluating or guiding responsible use of AI assisted development tools while maintaining appropriate engineering quality, security and governance standards. Line management experience, or experience supporting engineer development through mentoring, coaching, pairing, technical feedback and contribution to engineering career frameworks. Benefits Generous Annual Leave - 30 days plus Bank Holidays Pension scheme - contributions matched 2 to 1 (employer contribution up to 10% of your salary) Interest free loan for season tickets for buses and trains Cycle to work Scheme Subsidised eye tests & flu jabs Life assurance scheme Give as you earn scheme Employee assistance programme (EAP) PAM Assist and PAM Life scheme (Wellbeing) Enhanced family and sick pay Paid volunteering (2 days a year) Recognition Scheme Discounts portal to numerous retailers Hybrid Working We take pride in our flexible approach to work. As standard, we work on a hybrid basis with a minimum of 2 days in the office per month. Hybrid working is a voluntary, non contractual arrangement and our headquarters in Bedford will be your contractual place of work.
Rise Technical Recruitment Limited
City, Newcastle Upon Tyne
Data Engineer Newcastle upon Tyne £90,000 - £100,000 + Hybrid Working + Excellent Company Benefits Excellent opportunity for a senior Data Engineer to join a major national organisation and take ownership of the architecture, development and ongoing evolution of its enterprise data platform. This is a newly influential role within an organisation investing significantly in data, reporting and technology. You will have the opportunity to design and develop scalable data pipelines, shape the architecture of a Microsoft-based data lake and work directly with senior stakeholders across technology and finance. Reporting to the Group IT Director, you will build and maintain data solutions across Azure and AWS, bringing together information from multiple systems and ensuring that complex datasets remain accurate, secure and reliable. You will work closely with developers, infrastructure engineers, data specialists, report writers and senior business users. The position therefore offers a strong mixture of hands on engineering, technical ownership and stakeholder engagement. The ideal candidate will have expert SQL skills, extensive MS SQL Server experience and strong knowledge of Databricks and Azure Data Factory. You must also have practical experience delivering data solutions across both Azure and AWS environments. This is a fantastic opportunity to take a leading role in the development of a large organisation's data capability, with the autonomy to influence architecture, engineering standards and future technology decisions. The Role Designing, developing and maintaining scalable data pipelines Building data architecture that brings together multiple business systems Developing and supporting a Microsoft-based enterprise data lake Designing and maintaining MS SQL databases and related data systems Building ETL and data transformation solutions using Databricks and Azure Data Factory Developing cloud-based data solutions across Azure and AWS Ensuring the quality, integrity and reliability of complex datasets Working closely with FP&A, technology teams and senior business stakeholders Collaborating with developers, infrastructure engineers and reporting specialists Troubleshooting complex data and pipeline issues Four days per week based in the Newcastle office, with one day working from home The Person Senior-level Data Engineering experience Expert SQL knowledge Extensive experience with Microsoft SQL Server Strong experience with Databricks Experience building ETL pipelines using Azure Data Factory or similar tools Hands on experience working across both Azure and AWS Programming knowledge using Python, Java, C# or a similar language Strong understanding of data architecture, data lakes and pipeline development Confident communicating with both technical and non-technical stakeholders Experience working with financial systems or FP&A teams would be advantageous We are an equal opportunities company and welcome applications from all suitable candidates.
22/07/2026
Full time
Data Engineer Newcastle upon Tyne £90,000 - £100,000 + Hybrid Working + Excellent Company Benefits Excellent opportunity for a senior Data Engineer to join a major national organisation and take ownership of the architecture, development and ongoing evolution of its enterprise data platform. This is a newly influential role within an organisation investing significantly in data, reporting and technology. You will have the opportunity to design and develop scalable data pipelines, shape the architecture of a Microsoft-based data lake and work directly with senior stakeholders across technology and finance. Reporting to the Group IT Director, you will build and maintain data solutions across Azure and AWS, bringing together information from multiple systems and ensuring that complex datasets remain accurate, secure and reliable. You will work closely with developers, infrastructure engineers, data specialists, report writers and senior business users. The position therefore offers a strong mixture of hands on engineering, technical ownership and stakeholder engagement. The ideal candidate will have expert SQL skills, extensive MS SQL Server experience and strong knowledge of Databricks and Azure Data Factory. You must also have practical experience delivering data solutions across both Azure and AWS environments. This is a fantastic opportunity to take a leading role in the development of a large organisation's data capability, with the autonomy to influence architecture, engineering standards and future technology decisions. The Role Designing, developing and maintaining scalable data pipelines Building data architecture that brings together multiple business systems Developing and supporting a Microsoft-based enterprise data lake Designing and maintaining MS SQL databases and related data systems Building ETL and data transformation solutions using Databricks and Azure Data Factory Developing cloud-based data solutions across Azure and AWS Ensuring the quality, integrity and reliability of complex datasets Working closely with FP&A, technology teams and senior business stakeholders Collaborating with developers, infrastructure engineers and reporting specialists Troubleshooting complex data and pipeline issues Four days per week based in the Newcastle office, with one day working from home The Person Senior-level Data Engineering experience Expert SQL knowledge Extensive experience with Microsoft SQL Server Strong experience with Databricks Experience building ETL pipelines using Azure Data Factory or similar tools Hands on experience working across both Azure and AWS Programming knowledge using Python, Java, C# or a similar language Strong understanding of data architecture, data lakes and pipeline development Confident communicating with both technical and non-technical stakeholders Experience working with financial systems or FP&A teams would be advantageous We are an equal opportunities company and welcome applications from all suitable candidates.
Join Our Team At Beagle Aircraft, we're a leading aerospace manufacturer, producing precision-engineered components for some of the world's leading aerospace programmes. We're currently delivering a major investment in our manufacturing systems through the implementation of MRP within our Syspro ERP platform. As part of this exciting project, we're looking for an experienced Data Analyst / SQL Developer (ERP) to join our team on a 4-month fixed-term contract. This is a fantastic opportunity to play a key role in a business-critical ERP implementation, working closely with project stakeholders to ensure a successful go-live. If you enjoy solving complex data challenges and want to make a real impact within a manufacturing environment, we'd love to hear from you. The Role Reporting to the Project Lead, you'll take ownership of the SQL and database workstream, supporting the implementation of MRP within our existing Syspro ERP system. You'll build and maintain SQL databases, develop scripts, manage data migration and reconciliation activities, support User Acceptance Testing (UAT) and help ensure the successful delivery of the project. This is a hands-on technical role where you'll work closely with Planning, Procurement, Engineering and Operations to ensure data accuracy throughout the implementation. What We Offer Competitive salary 25 days annual leave plus Bank Holidays (pro rata) Company pension scheme Healthcare benefits Employee Assistance Programme (EAP) Holiday Purchase Scheme Birthday leave Long service awards Free onsite parking Career development opportunities Opportunity to contribute to a major business transformation project Key Responsibilities Build and maintain the Syspro ERP test environment and SQL databases. Develop and maintain SQL scripts for database administration, data migration and system updates. Manage company copy processes, data cleansing and reconciliation activities. Support ERP testing, User Acceptance Testing (UAT) and MRP validation. Investigate and resolve SQL and data integrity issues throughout the project lifecycle. Perform SQL Server backup, restore and database administration activities. Produce technical documentation, change logs and project records. Collaborate with cross-functional teams to support a successful ERP implementation. About You We're looking for someone who enjoys working in a fast-paced project environment and has strong SQL Server and ERP database experience. You'll ideally have: Strong experience with Microsoft SQL Server, T-SQL development and database administration. Previous experience working within an ERP environment, ideally Syspro or a similar manufacturing ERP system. Experience with ETL processes, data migration and data reconciliation. The ability to analyse complex data and resolve technical issues quickly. Excellent communication skills with the ability to explain technical information to non-technical stakeholders. Experience supporting ERP implementations, MRP projects or large-scale business system upgrades. Manufacturing, engineering or aerospace industry experience would be advantageous. Experience with Power BI or reporting tools would be beneficial but is not essential. Why Join Beagle Aircraft? This is more than just a fixed-term contract it's an opportunity to play a key role in delivering a business-critical ERP transformation that will shape the future of our manufacturing operations. You'll join a collaborative project team, work with experienced professionals and gain valuable experience delivering a high-profile manufacturing systems implementation within the aerospace sector. If you're an experienced SQL professional looking for your next challenge, we'd love to hear from you.
22/07/2026
Contractor
Join Our Team At Beagle Aircraft, we're a leading aerospace manufacturer, producing precision-engineered components for some of the world's leading aerospace programmes. We're currently delivering a major investment in our manufacturing systems through the implementation of MRP within our Syspro ERP platform. As part of this exciting project, we're looking for an experienced Data Analyst / SQL Developer (ERP) to join our team on a 4-month fixed-term contract. This is a fantastic opportunity to play a key role in a business-critical ERP implementation, working closely with project stakeholders to ensure a successful go-live. If you enjoy solving complex data challenges and want to make a real impact within a manufacturing environment, we'd love to hear from you. The Role Reporting to the Project Lead, you'll take ownership of the SQL and database workstream, supporting the implementation of MRP within our existing Syspro ERP system. You'll build and maintain SQL databases, develop scripts, manage data migration and reconciliation activities, support User Acceptance Testing (UAT) and help ensure the successful delivery of the project. This is a hands-on technical role where you'll work closely with Planning, Procurement, Engineering and Operations to ensure data accuracy throughout the implementation. What We Offer Competitive salary 25 days annual leave plus Bank Holidays (pro rata) Company pension scheme Healthcare benefits Employee Assistance Programme (EAP) Holiday Purchase Scheme Birthday leave Long service awards Free onsite parking Career development opportunities Opportunity to contribute to a major business transformation project Key Responsibilities Build and maintain the Syspro ERP test environment and SQL databases. Develop and maintain SQL scripts for database administration, data migration and system updates. Manage company copy processes, data cleansing and reconciliation activities. Support ERP testing, User Acceptance Testing (UAT) and MRP validation. Investigate and resolve SQL and data integrity issues throughout the project lifecycle. Perform SQL Server backup, restore and database administration activities. Produce technical documentation, change logs and project records. Collaborate with cross-functional teams to support a successful ERP implementation. About You We're looking for someone who enjoys working in a fast-paced project environment and has strong SQL Server and ERP database experience. You'll ideally have: Strong experience with Microsoft SQL Server, T-SQL development and database administration. Previous experience working within an ERP environment, ideally Syspro or a similar manufacturing ERP system. Experience with ETL processes, data migration and data reconciliation. The ability to analyse complex data and resolve technical issues quickly. Excellent communication skills with the ability to explain technical information to non-technical stakeholders. Experience supporting ERP implementations, MRP projects or large-scale business system upgrades. Manufacturing, engineering or aerospace industry experience would be advantageous. Experience with Power BI or reporting tools would be beneficial but is not essential. Why Join Beagle Aircraft? This is more than just a fixed-term contract it's an opportunity to play a key role in delivering a business-critical ERP transformation that will shape the future of our manufacturing operations. You'll join a collaborative project team, work with experienced professionals and gain valuable experience delivering a high-profile manufacturing systems implementation within the aerospace sector. If you're an experienced SQL professional looking for your next challenge, we'd love to hear from you.
Who We Are Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group, a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis, provides a powerful foundation for lotteries worldwide, featuring: Player Account Management (PAM) for secure and seamless player experiences Draw-Based Games (DBG) for classic lottery draws Nexus Aggregator & Apollo RGS for e-Instants and Fast Play games Web & mobile applications for an enhanced and modern user experience Command Admin Portal for streamlined operations Optex Promotions to reward and engage players With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming, we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape. At Allwyn Lottery Solutions, you'll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. This role will be central to shaping the collection, storing, processing, and analysis of huge sets of data. The primary focus will be on architecting serverless AWS solutions for data streams, then developing, testing, implementing, and deploying them to our international clients. The role will lead data integration with our marketing technologies including our real time CDP. The Engineer will take a holistic view of their deliverables and provide 3rd line support to clients to help monitor, diagnose and continuously improve our data products. To be successful, the target candidate will have extensive and broad experience across the full stack of AWS data products. The candidate will have worked with traditional data warehousing, ERP systems, high volume e-commerce sites, digital marketing data sets and a variety of BI and Analytic tools. Purpose of Role To architect robust data ingestion streams for real time data processing, marketing technology and analytics Contribute to the platform logical and physical data models Develop ETL, ELT routines for structured analytics Develop a range of integrations to APIs, flat files and other external systems to support broader ecosphere Work with software developers to enhance gaming platform integration Support testing and deployment Develop automated monitoring, fault recovery and diagnosis Document output to a high level Mentor and train localised application support specialists Department Part of the Allwyn Lottery Solutions BI and CRM Product Unit, the team's objective is to deliver continuous support and enhancements to our customers' analytics and CRM capabilities, enabling data-driven decision-making and improved customer engagement Key Accountabilities Lead the development of AWS data solutions Lead adoption of new integration and data technologies Input into the AWS technology roadmap and strategy Champion best practice and standardisation of development Deliver best in class solutions in terms of robustness, recovery and resilienceDeliver continuous improvement to development methodologies and automation Skills & Experience Advanced AWS Serverless design and development experience specifically Streaming technologies such as SQS, Kinesis, MSK NoSQL stores such as DynamoDB Serverless compute development with Lambda and Glue Orchestration of serverless compute with MWAA and Step functions SQL data stores such as AWS Athena and Aurora Storage solutions, mainly S3 API development System monitoring with Cloudwatch Roles and Policies with IAM ML and AI with Sagemaker and Bedrock Advanced knowledge of Python and popular libraries such as Panda Data Frames Awareness of AWS prices and charges to enable development of cost effective solutions Experience of developing high volume and highly scalable data integrations using a variety of techniques and technologies including files, SQL, queues and APIs Experience with integrating to ERP, Ecommerce and CRM integrations over a range of interfaces and formats including SQL, JSON, XML and CSV Strong experience with performance tuning and monitoring techniques at an application and data platform level Highly developed data modelling and SQL skills Characteristics Problem Solving: Solve unique and complex problems with a focus on business impact Curious about new and upcoming technologies with the willingness to access, learn and integrate them into existing systems Flexible and capable of working unsupervised alone or in small teams in situations where priorities and workload can change quickly Continuous Improvement: Develops strategies to address iterative improvement Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution At Allwyn LS, we know that great delivery starts with great people. Here's what we offer to support you and help you thrive: A dynamic team of experts who'll support your growth and share your ambition. A diverse, international environment full of opportunity and challenge. A comprehensive onboarding experience to set you up for success. Competitive salary with a performance-based bonus. Health and life insurance for you and your family. Well-being allowance. Extensive leave policy to support work-life balance. Unlimited training resources and tools to support your development. 360 feedback framework to help you grow your impact. Employee Assistance Programme with professional counselling support. Flexible working options. A modern tech setup including Apple equipment and best in class tools. A stable, enjoyable working environment where delivery is valued. Equal Opportunity Employer We're proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. Privacy Disclaimer By clicking "Apply" for this Job, you agree that you have read and accepted our Privacy Statement relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.
22/07/2026
Full time
Who We Are Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group, a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis, provides a powerful foundation for lotteries worldwide, featuring: Player Account Management (PAM) for secure and seamless player experiences Draw-Based Games (DBG) for classic lottery draws Nexus Aggregator & Apollo RGS for e-Instants and Fast Play games Web & mobile applications for an enhanced and modern user experience Command Admin Portal for streamlined operations Optex Promotions to reward and engage players With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming, we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape. At Allwyn Lottery Solutions, you'll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. This role will be central to shaping the collection, storing, processing, and analysis of huge sets of data. The primary focus will be on architecting serverless AWS solutions for data streams, then developing, testing, implementing, and deploying them to our international clients. The role will lead data integration with our marketing technologies including our real time CDP. The Engineer will take a holistic view of their deliverables and provide 3rd line support to clients to help monitor, diagnose and continuously improve our data products. To be successful, the target candidate will have extensive and broad experience across the full stack of AWS data products. The candidate will have worked with traditional data warehousing, ERP systems, high volume e-commerce sites, digital marketing data sets and a variety of BI and Analytic tools. Purpose of Role To architect robust data ingestion streams for real time data processing, marketing technology and analytics Contribute to the platform logical and physical data models Develop ETL, ELT routines for structured analytics Develop a range of integrations to APIs, flat files and other external systems to support broader ecosphere Work with software developers to enhance gaming platform integration Support testing and deployment Develop automated monitoring, fault recovery and diagnosis Document output to a high level Mentor and train localised application support specialists Department Part of the Allwyn Lottery Solutions BI and CRM Product Unit, the team's objective is to deliver continuous support and enhancements to our customers' analytics and CRM capabilities, enabling data-driven decision-making and improved customer engagement Key Accountabilities Lead the development of AWS data solutions Lead adoption of new integration and data technologies Input into the AWS technology roadmap and strategy Champion best practice and standardisation of development Deliver best in class solutions in terms of robustness, recovery and resilienceDeliver continuous improvement to development methodologies and automation Skills & Experience Advanced AWS Serverless design and development experience specifically Streaming technologies such as SQS, Kinesis, MSK NoSQL stores such as DynamoDB Serverless compute development with Lambda and Glue Orchestration of serverless compute with MWAA and Step functions SQL data stores such as AWS Athena and Aurora Storage solutions, mainly S3 API development System monitoring with Cloudwatch Roles and Policies with IAM ML and AI with Sagemaker and Bedrock Advanced knowledge of Python and popular libraries such as Panda Data Frames Awareness of AWS prices and charges to enable development of cost effective solutions Experience of developing high volume and highly scalable data integrations using a variety of techniques and technologies including files, SQL, queues and APIs Experience with integrating to ERP, Ecommerce and CRM integrations over a range of interfaces and formats including SQL, JSON, XML and CSV Strong experience with performance tuning and monitoring techniques at an application and data platform level Highly developed data modelling and SQL skills Characteristics Problem Solving: Solve unique and complex problems with a focus on business impact Curious about new and upcoming technologies with the willingness to access, learn and integrate them into existing systems Flexible and capable of working unsupervised alone or in small teams in situations where priorities and workload can change quickly Continuous Improvement: Develops strategies to address iterative improvement Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution At Allwyn LS, we know that great delivery starts with great people. Here's what we offer to support you and help you thrive: A dynamic team of experts who'll support your growth and share your ambition. A diverse, international environment full of opportunity and challenge. A comprehensive onboarding experience to set you up for success. Competitive salary with a performance-based bonus. Health and life insurance for you and your family. Well-being allowance. Extensive leave policy to support work-life balance. Unlimited training resources and tools to support your development. 360 feedback framework to help you grow your impact. Employee Assistance Programme with professional counselling support. Flexible working options. A modern tech setup including Apple equipment and best in class tools. A stable, enjoyable working environment where delivery is valued. Equal Opportunity Employer We're proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. Privacy Disclaimer By clicking "Apply" for this Job, you agree that you have read and accepted our Privacy Statement relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.
Hybrid Work Schedule Verifone is proudly an in office work culture. We allow a hybrid work schedule but regularly revisit our attendance policy. What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of MySQL clusters and single instances. You will orchestrate upgrades, backups, HA/DR, and provisioning of database instances, collaborating closely with application architects, senior developers, and support engineers to design optimized database solutions. Key Responsibilities You will be responsible for ensuring that database management policies, processes, and procedures are established and followed, aligning with ITIL best practices and PCI standards. You will review system design changes, liaise with release management and support teams, and maintain stable performance and security. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2, RDS, or Aurora instances. Build high availability, active active clusters in large scale, multi datacenter environments with minimal RPO/RTO. Implement uniform backup strategies and business continuity plans using Percona XtraDB or custom automation scripts. Define comprehensive database monitoring, alerting, and documentation. Set up master master or master slave replication for high availability. Maintain performance through server optimizations. Guide engineering teams on best practices for server configuration and SQL tuning. Ensure security and compliance via OS and database version upgrades. Collaborate with stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to incident and change processes with thorough documentation and peer review. Support application release processes and automation. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL active/active cluster setups, upgrades, migrations, and scripting. Proficiency in Linux based MySQL administration. Experience with zero or minimal downtime upgrades in production. Designing and architecting MySQL environments using Galera Cluster or Percona XtraDB. Deployment of database monitoring using PMM, New Relic, Datadog, Nagios, Grafana, ELK, or AppD. Infrastructure as Code (IaC) experience with Terraform, Ansible, Puppet, or Chef. Proficiency with cloud infrastructure, especially AWS RDS. Automation and scripting in Python, Shell, Go, Java, or Rust. Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or GitLab. Advanced database performance tuning, SQL optimization, hardware configuration, and capacity planning. Strong technical leadership, mentoring, and time management skills. Preferred Skills (Not Mandatory) PCI (Payment Card Industry Data Security) standards experience. ITIL environment experience. Deep experience with SQL, stored procedures, triggers, batch jobs, reporting, and analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, and ETL. Experience with data analytics and business intelligence. EEO Statement Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
22/07/2026
Full time
Hybrid Work Schedule Verifone is proudly an in office work culture. We allow a hybrid work schedule but regularly revisit our attendance policy. What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of MySQL clusters and single instances. You will orchestrate upgrades, backups, HA/DR, and provisioning of database instances, collaborating closely with application architects, senior developers, and support engineers to design optimized database solutions. Key Responsibilities You will be responsible for ensuring that database management policies, processes, and procedures are established and followed, aligning with ITIL best practices and PCI standards. You will review system design changes, liaise with release management and support teams, and maintain stable performance and security. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2, RDS, or Aurora instances. Build high availability, active active clusters in large scale, multi datacenter environments with minimal RPO/RTO. Implement uniform backup strategies and business continuity plans using Percona XtraDB or custom automation scripts. Define comprehensive database monitoring, alerting, and documentation. Set up master master or master slave replication for high availability. Maintain performance through server optimizations. Guide engineering teams on best practices for server configuration and SQL tuning. Ensure security and compliance via OS and database version upgrades. Collaborate with stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to incident and change processes with thorough documentation and peer review. Support application release processes and automation. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL active/active cluster setups, upgrades, migrations, and scripting. Proficiency in Linux based MySQL administration. Experience with zero or minimal downtime upgrades in production. Designing and architecting MySQL environments using Galera Cluster or Percona XtraDB. Deployment of database monitoring using PMM, New Relic, Datadog, Nagios, Grafana, ELK, or AppD. Infrastructure as Code (IaC) experience with Terraform, Ansible, Puppet, or Chef. Proficiency with cloud infrastructure, especially AWS RDS. Automation and scripting in Python, Shell, Go, Java, or Rust. Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or GitLab. Advanced database performance tuning, SQL optimization, hardware configuration, and capacity planning. Strong technical leadership, mentoring, and time management skills. Preferred Skills (Not Mandatory) PCI (Payment Card Industry Data Security) standards experience. ITIL environment experience. Deep experience with SQL, stored procedures, triggers, batch jobs, reporting, and analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, and ETL. Experience with data analytics and business intelligence. EEO Statement Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Date live: 17/07/2026 Business Area: BPL - Technology Area of Expertise: Technology Contract: Permanent Reference Code: JR- Join us as a Senior Oracle Fusion ERP Integrations and Reporting Developer - lBPL - looking for a seasoned technical professional with extensive experience in Oracle Cloud integrations, data engineering, and reporting. You will require hands on expertise in Oracle Cloud Infrastructure (OCI), ETL development, PL/SQL, and BI Publisher, with proven experience across both project delivery and BAU support. To be successful as a Senior Oracle Fusion ERP Integrations and Reporting Developer, you must have the following essential skills; Hands on expertise in Oracle Cloud Infrastructure (OCI), ETL development, PL/SQL, and BI Publisher Design and develop integrations between Oracle Fusion Cloud and upstream/downstream systems (e.g., Financials services external feeds) using OCI services Design and build BI Publisher reports Some other highly valued skills may include; Understanding of financials data flows (R2R / P2P) File based integrations, REST and SOAP API integrations and secure file transfer patterns (MFT/SFTP) Ability to work independently in BAU and project environments You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. The successful candidate will be based in London. Our offices are located at 1 Churchill Place and 7 Westferry Circus (new BPL office). We support a hybrid working pattern with 3 days per week office based presence expected. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross functional collaboration, and contributing to strategic planning to ensure the delivery of high quality solutions aligned with business objectives. Accountabilities Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence. Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimise product roadmaps. Design and implementation of complex, scalable, and maintainable software solutions, considering long term viability and business objectives. Mentoring and coaching to junior and mid level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organisation. Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development. Innovation within the organisation by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalations of breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the company values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the company mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
22/07/2026
Full time
Date live: 17/07/2026 Business Area: BPL - Technology Area of Expertise: Technology Contract: Permanent Reference Code: JR- Join us as a Senior Oracle Fusion ERP Integrations and Reporting Developer - lBPL - looking for a seasoned technical professional with extensive experience in Oracle Cloud integrations, data engineering, and reporting. You will require hands on expertise in Oracle Cloud Infrastructure (OCI), ETL development, PL/SQL, and BI Publisher, with proven experience across both project delivery and BAU support. To be successful as a Senior Oracle Fusion ERP Integrations and Reporting Developer, you must have the following essential skills; Hands on expertise in Oracle Cloud Infrastructure (OCI), ETL development, PL/SQL, and BI Publisher Design and develop integrations between Oracle Fusion Cloud and upstream/downstream systems (e.g., Financials services external feeds) using OCI services Design and build BI Publisher reports Some other highly valued skills may include; Understanding of financials data flows (R2R / P2P) File based integrations, REST and SOAP API integrations and secure file transfer patterns (MFT/SFTP) Ability to work independently in BAU and project environments You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job specific technical skills. The successful candidate will be based in London. Our offices are located at 1 Churchill Place and 7 Westferry Circus (new BPL office). We support a hybrid working pattern with 3 days per week office based presence expected. Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross functional collaboration, and contributing to strategic planning to ensure the delivery of high quality solutions aligned with business objectives. Accountabilities Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence. Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimise product roadmaps. Design and implementation of complex, scalable, and maintainable software solutions, considering long term viability and business objectives. Mentoring and coaching to junior and mid level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organisation. Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development. Innovation within the organisation by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalations of breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the company values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the company mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
United States Digital Space LLC in London is seeking a Senior Oracle Fusion ERP Integrations and Reporting Developer with extensive experience in Oracle Cloud integrations, data engineering, and reporting. You will lead design and delivery of robust integrations across Fusion Cloud and upstream/downstream systems. The role requires hands-on OCI, ETL development, PL/SQL, and BI Publisher, plus the ability to mentor teams, support BAU, and drive strategic technology initiatives within a hybrid
22/07/2026
Full time
United States Digital Space LLC in London is seeking a Senior Oracle Fusion ERP Integrations and Reporting Developer with extensive experience in Oracle Cloud integrations, data engineering, and reporting. You will lead design and delivery of robust integrations across Fusion Cloud and upstream/downstream systems. The role requires hands-on OCI, ETL development, PL/SQL, and BI Publisher, plus the ability to mentor teams, support BAU, and drive strategic technology initiatives within a hybrid
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Job Number - Surrey, England, United Kingdom Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Location Woking, UK Regional Scope EMEA Reporting to Global Director - Analytics Purpose You will play a critical role in bridging the gap between business questions & connected analytic solutions - delivering speed to insight & driving business growth. Both Commercial & Technical, this role is expected to understand the needs of the business teams and together with expert knowledge of our data & techstack, translate the business requirements into technical blueprints - working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills - flexing between business language & technical briefs able to simplify the complex for commercial teams & senior leadership whilst able to converse in technical detail with developers. This role is both strategic & hands on development. You would design & deliver scaled & automated Commercial Analytics across the regio and this starts with a clear vision for the best in class output so this person will be a proven expert in front end solution/BI development & able to develop POCs to stress test data required together with the end user benefit/UX. Initial focus area of this role will be to automate the analytics supporting our monthly discipline process & business critical RGM tools so experience in activating Supply chain, Sales & Pricing data is strongly preferred. What you will do Stakeholder Collaboration: Build close partnerships with Commercial teams & GIT teams in order to understand with commercial curiosity the business needs & effectively translate/mobilise them into actionable technical requirements. Global Partnership: Build strong relationships with the wider Hills/Global Analytics teams in order to leverage best practices & where relevant create solutions that are scalable for Global Hills. Technical Strategy & Design: Partner with our GIT team to design scalable end-to-end blueprints for data ingestion, transformation, and visualization. Tool Selection: Represent business needs in tool selection, (e.g., Snowflake, Domo, Sigma, Google Suite ) enabling us to leverage the full capabilities of our techstake for optimal user experience. Data Visualisation: Inform a Regional Platform Strategy to drive best in class delivery of UX & speed to insight. Change Management: Plan for & facilitate change management through transitions from legacy to new solutions by proactively recognising user concerns & helping to mitigate. Enablement: Deliver tools, training, materials to local teams that will drive effective adoption of solutions & upskill teams in analytics skills & self service. Governance & Scalability: Ensure all data solutions are secure, compliant, and scalable. Prototyping: Utilise strong developing skills to deliver agile & effective proofs of concept (POCs) to validate architectural approaches. Who you are Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps practices. Communication: Excellent verbal and written skills to translate complex technical concepts into simple language for non-technical stakeholders. Analytical Thinking & Curiosity: Advanced analytical and problem solving skills to assess business needs and design scalable, optimized, and secure solutions. Commercial Awareness: Ability to align technical decisions with business strategy. Leadership: Ability to lead technical teams, guide developers, and collaborate with enterprise architects. Transformation Mindset: Ability to build a progressive roadmap that pioneers transformation whilst recognising & supporting change management steps needed on the journey to adoption. Qualifications 5-10 years of hands on experience in delivering Analytics solutions, with ideally at least 3-5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types - Sales, Financial, Supply Chain. Proven track record of designing and implementing complex end to end analytic outputs. Experience in driving change Management & Solution Adoption. Experience in data analytics technology landscapes and big data solutions. A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
22/07/2026
Full time
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Job Number - Surrey, England, United Kingdom Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Location Woking, UK Regional Scope EMEA Reporting to Global Director - Analytics Purpose You will play a critical role in bridging the gap between business questions & connected analytic solutions - delivering speed to insight & driving business growth. Both Commercial & Technical, this role is expected to understand the needs of the business teams and together with expert knowledge of our data & techstack, translate the business requirements into technical blueprints - working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills - flexing between business language & technical briefs able to simplify the complex for commercial teams & senior leadership whilst able to converse in technical detail with developers. This role is both strategic & hands on development. You would design & deliver scaled & automated Commercial Analytics across the regio and this starts with a clear vision for the best in class output so this person will be a proven expert in front end solution/BI development & able to develop POCs to stress test data required together with the end user benefit/UX. Initial focus area of this role will be to automate the analytics supporting our monthly discipline process & business critical RGM tools so experience in activating Supply chain, Sales & Pricing data is strongly preferred. What you will do Stakeholder Collaboration: Build close partnerships with Commercial teams & GIT teams in order to understand with commercial curiosity the business needs & effectively translate/mobilise them into actionable technical requirements. Global Partnership: Build strong relationships with the wider Hills/Global Analytics teams in order to leverage best practices & where relevant create solutions that are scalable for Global Hills. Technical Strategy & Design: Partner with our GIT team to design scalable end-to-end blueprints for data ingestion, transformation, and visualization. Tool Selection: Represent business needs in tool selection, (e.g., Snowflake, Domo, Sigma, Google Suite ) enabling us to leverage the full capabilities of our techstake for optimal user experience. Data Visualisation: Inform a Regional Platform Strategy to drive best in class delivery of UX & speed to insight. Change Management: Plan for & facilitate change management through transitions from legacy to new solutions by proactively recognising user concerns & helping to mitigate. Enablement: Deliver tools, training, materials to local teams that will drive effective adoption of solutions & upskill teams in analytics skills & self service. Governance & Scalability: Ensure all data solutions are secure, compliant, and scalable. Prototyping: Utilise strong developing skills to deliver agile & effective proofs of concept (POCs) to validate architectural approaches. Who you are Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps practices. Communication: Excellent verbal and written skills to translate complex technical concepts into simple language for non-technical stakeholders. Analytical Thinking & Curiosity: Advanced analytical and problem solving skills to assess business needs and design scalable, optimized, and secure solutions. Commercial Awareness: Ability to align technical decisions with business strategy. Leadership: Ability to lead technical teams, guide developers, and collaborate with enterprise architects. Transformation Mindset: Ability to build a progressive roadmap that pioneers transformation whilst recognising & supporting change management steps needed on the journey to adoption. Qualifications 5-10 years of hands on experience in delivering Analytics solutions, with ideally at least 3-5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types - Sales, Financial, Supply Chain. Proven track record of designing and implementing complex end to end analytic outputs. Experience in driving change Management & Solution Adoption. Experience in data analytics technology landscapes and big data solutions. A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
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.
About the role Are you an experienced Data Architect looking for your next challenge? Cooper Parry is on a rapid growth trajectory, and we're seeking a Data Architect to lead the design and evolution of our enterprise data platform. This role will play a critical part in shaping a scalable, secure, and high performing data architecture built primarily on Microsoft Fabric, supporting advanced analytics, reporting, and data-driven decision making across the business. You will bring a strong data engineering background, working hands on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. You'll be getting stuck into a diverse range of tasks and responsibilities, including; Data Architecture & Strategy Owning and evolving the end-to-end data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and overseeing solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures Data Pipelines Spark / Notebooks Semantic models Ensuring platform scalability, performance optimisation, cost efficiency, and security Guiding the transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role based security Ensuring compliance with GDPR and organisational security standards Promoting high data quality and lineage transparency Collaboration & Leadership Working closely with: Data Engineers Analytics Engineers BI Developers Product and Business stakeholders Mentoring and upskilling team members Reviewing solution designs and providing constructive architectural guidance About you At Cooper Parry, we're in it together. All we ask of our people is that they play all in. You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave, stepping out of your comfort zone to tackle new challenges. Above all, be nice. A simple notion, but an irreplaceable part of what makes CP, CP. In addition to those core values, you should also have; Proven experience as a Data Architect or Senior Data Engineer with architectural responsibility Strong hands on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions Experience integrating and modelling professional services data Familiarity with Power BI semantic models and DAX Experience with Azure ecosystem services (e.g. Azure AD, monitoring, networking) Experience operating in agile product or platform teams Experience designing data architectures and integrations for CRM and professional services platforms, such as Salesforce or similar systems, and understand common CRM and services data challenges, including: Complex relational structures Slowly changing dimensions Data duplication and reconciliation across systems What's in it for you? Our people are the beating heart of our culture. We know that if you love working here, and you're given the trust and autonomy to work in a way that best suits you, you'll produce amazing results. That's why we offer things like: A flexible approach to work - balancing working from home, in office or with clients A generous holiday entitlement An enhanced parental leave policy An enhanced pension scheme No dress code - just "wear something!" A multi-award winning wellbeing offering to support your physical, mental, spiritual, and financial health Volunteering opportunities to work closer with local communities and charities Cooper Parry social/sports clubs Feeling supported and welcomed is such a big part of bringing your whole self to work. As an equal opportunities employer, we'll work with you to ensure you have everything you need to develop your skills and achieve your best. For diversity & inclusion, we'll work with you to ensure you have everything you need.
21/07/2026
Full time
About the role Are you an experienced Data Architect looking for your next challenge? Cooper Parry is on a rapid growth trajectory, and we're seeking a Data Architect to lead the design and evolution of our enterprise data platform. This role will play a critical part in shaping a scalable, secure, and high performing data architecture built primarily on Microsoft Fabric, supporting advanced analytics, reporting, and data-driven decision making across the business. You will bring a strong data engineering background, working hands on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. You'll be getting stuck into a diverse range of tasks and responsibilities, including; Data Architecture & Strategy Owning and evolving the end-to-end data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and overseeing solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures Data Pipelines Spark / Notebooks Semantic models Ensuring platform scalability, performance optimisation, cost efficiency, and security Guiding the transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role based security Ensuring compliance with GDPR and organisational security standards Promoting high data quality and lineage transparency Collaboration & Leadership Working closely with: Data Engineers Analytics Engineers BI Developers Product and Business stakeholders Mentoring and upskilling team members Reviewing solution designs and providing constructive architectural guidance About you At Cooper Parry, we're in it together. All we ask of our people is that they play all in. You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave, stepping out of your comfort zone to tackle new challenges. Above all, be nice. A simple notion, but an irreplaceable part of what makes CP, CP. In addition to those core values, you should also have; Proven experience as a Data Architect or Senior Data Engineer with architectural responsibility Strong hands on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions Experience integrating and modelling professional services data Familiarity with Power BI semantic models and DAX Experience with Azure ecosystem services (e.g. Azure AD, monitoring, networking) Experience operating in agile product or platform teams Experience designing data architectures and integrations for CRM and professional services platforms, such as Salesforce or similar systems, and understand common CRM and services data challenges, including: Complex relational structures Slowly changing dimensions Data duplication and reconciliation across systems What's in it for you? Our people are the beating heart of our culture. We know that if you love working here, and you're given the trust and autonomy to work in a way that best suits you, you'll produce amazing results. That's why we offer things like: A flexible approach to work - balancing working from home, in office or with clients A generous holiday entitlement An enhanced parental leave policy An enhanced pension scheme No dress code - just "wear something!" A multi-award winning wellbeing offering to support your physical, mental, spiritual, and financial health Volunteering opportunities to work closer with local communities and charities Cooper Parry social/sports clubs Feeling supported and welcomed is such a big part of bringing your whole self to work. As an equal opportunities employer, we'll work with you to ensure you have everything you need to develop your skills and achieve your best. For diversity & inclusion, we'll work with you to ensure you have everything you need.
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.
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.
# Data Engineer (Python Enterprise Developer) at N Consulting LtdWork mode: Hybrid (with 4 days a week at London, Canary Wharf) Contract duration: Long term Location: London - JOB DETAILS Role Title: Data Engineer (Python Enterprise Developer) Must have skills: -Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow -Preferred Domain: Energy trading Minimum number of relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing big data. • Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have • Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git. • Experience working with AWS services(S3, lambda,etc) and Azure Databricks. • Have experience in delivering project with Agile and Scrum methodology. • Able to co-ordinate with Teams across multiple locations and time zones • Strong interpersonal and communication skills with an ability to lead a team and keep them motivated. • Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
21/07/2026
Full time
# Data Engineer (Python Enterprise Developer) at N Consulting LtdWork mode: Hybrid (with 4 days a week at London, Canary Wharf) Contract duration: Long term Location: London - JOB DETAILS Role Title: Data Engineer (Python Enterprise Developer) Must have skills: -Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow -Preferred Domain: Energy trading Minimum number of relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing big data. • Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have • Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git. • Experience working with AWS services(S3, lambda,etc) and Azure Databricks. • Have experience in delivering project with Agile and Scrum methodology. • Able to co-ordinate with Teams across multiple locations and time zones • Strong interpersonal and communication skills with an ability to lead a team and keep them motivated. • Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow
N Consulting Limited is looking for a Data Engineer (Python Enterprise Developer) to work in a hybrid model with 4 days a week in London, Canary Wharf. The ideal candidate will have 8+ years of experience in Python scripting, and proficiency in tools such as Postgres SQL and Azure Databricks. Responsibilities include coordinating teams across locations, delivering projects with Agile methods, and leading a motivated team. This is a long-term contract position with opportunities in the energy trading domain.
21/07/2026
Full time
N Consulting Limited is looking for a Data Engineer (Python Enterprise Developer) to work in a hybrid model with 4 days a week in London, Canary Wharf. The ideal candidate will have 8+ years of experience in Python scripting, and proficiency in tools such as Postgres SQL and Azure Databricks. Responsibilities include coordinating teams across locations, delivering projects with Agile methods, and leading a motivated team. This is a long-term contract position with opportunities in the energy trading domain.
Lead Data EngineerReady to turn bold ideas into real-world impact?At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.Get to know us at and on LinkedIn, YouTube, X, and Facebook.Job Description -Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. Develop and maintain documentation for data processes, systems, and infrastructure.Qualifications -Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications -Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracleRequired Skills -Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, StorytellingLanguageEnglishLanguage Proficiency -Advanced - C1Additional Job Location -Job TypeRegularMaster Skill List -Data EngineeringRemote Type -HybridWork Shift -Standard (United Kingdom)Why join Genpact?Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matterMake an impact - Help global enterprises solve business challenges that matterAccelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay aheadWork with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every dayThrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.Let's build tomorrow together.Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
21/07/2026
Full time
Lead Data EngineerReady to turn bold ideas into real-world impact?At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.Get to know us at and on LinkedIn, YouTube, X, and Facebook.Job Description -Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. Develop and maintain documentation for data processes, systems, and infrastructure.Qualifications -Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications -Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracleRequired Skills -Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, StorytellingLanguageEnglishLanguage Proficiency -Advanced - C1Additional Job Location -Job TypeRegularMaster Skill List -Data EngineeringRemote Type -HybridWork Shift -Standard (United Kingdom)Why join Genpact?Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matterMake an impact - Help global enterprises solve business challenges that matterAccelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay aheadWork with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every dayThrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.Let's build tomorrow together.Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Who We Are Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group, a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis, provides a powerful foundation for lotteries worldwide, featuring: Player Account Management (PAM) for secure and seamless player experiences Draw-Based Games (DBG) for classic lottery draws Nexus Aggregator & Apollo RGS for e-Instants and Fast Play games Web & mobile applications for an enhanced and modern user experience Command Admin Portal for streamlined operations Optex Promotions to reward and engage players With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming, we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape. At Allwyn Lottery Solutions, you'll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. This role will be central to shaping the collection, storing, processing, and analysis of huge sets of data. The primary focus will be on architecting serverless AWS solutions for data streams, then developing, testing, implementing, and deploying them to our international clients. The role will lead data integration with our marketing technologies including our real time CDP. The Engineer will take a holistic view of their deliverables and provide 3rd line support to clients to help monitor, diagnose and continuously improve our data products. To be successful, the target candidate will have extensive and broad experience across the full stack of AWS data products. The candidate will have worked with traditional data warehousing, ERP systems, high volume e-commerce sites, digital marketing data sets and a variety of BI and Analytic tools. Purpose of Role To architect robust data ingestion streams for real time data processing, marketing technology and analytics Contribute to the platform logical and physical data models Develop ETL, ELT routines for structured analytics Develop a range of integrations to APIs, flat files and other external systems to support broader ecosphere Work with software developers to enhance gaming platform integration Support testing and deployment Develop automated monitoring, fault recovery and diagnosis Document output to a high level Mentor and train localised application support specialists Department Part of the Allwyn Lottery Solutions BI and CRM Product Unit, the team's objective is to deliver continuous support and enhancements to our customers' analytics and CRM capabilities, enabling data-driven decision-making and improved customer engagement Key Accountabilities Lead the development of AWS data solutions Lead adoption of new integration and data technologies Input into the AWS technology roadmap and strategy Champion best practice and standardisation of development Deliver best in class solutions in terms of robustness, recovery and resilienceDeliver continuous improvement to development methodologies and automation Skills & Experience Advanced AWS Serverless design and development experience specifically Streaming technologies such as SQS, Kinesis, MSK NoSQL stores such as DynamoDB Serverless compute development with Lambda and Glue Orchestration of serverless compute with MWAA and Step functions SQL data stores such as AWS Athena and Aurora Storage solutions, mainly S3 API development System monitoring with Cloudwatch Roles and Policies with IAM ML and AI with Sagemaker and Bedrock Advanced knowledge of Python and popular libraries such as Panda Data Frames Awareness of AWS prices and charges to enable development of cost effective solutions Experience of developing high volume and highly scalable data integrations using a variety of techniques and technologies including files, SQL, queues and APIs Experience with integrating to ERP, Ecommerce and CRM integrations over a range of interfaces and formats including SQL, JSON, XML and CSV Strong experience with performance tuning and monitoring techniques at an application and data platform level Highly developed data modelling and SQL skills Characteristics Problem Solving: Solve unique and complex problems with a focus on business impact Curious about new and upcoming technologies with the willingness to access, learn and integrate them into existing systems Flexible and capable of working unsupervised alone or in small teams in situations where priorities and workload can change quickly Continuous Improvement: Develops strategies to address iterative improvement Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution At Allwyn LS, we know that great delivery starts with great people. Here's what we offer to support you and help you thrive: A dynamic team of experts who'll support your growth and share your ambition. A diverse, international environment full of opportunity and challenge. A comprehensive onboarding experience to set you up for success. Competitive salary with a performance-based bonus. Health and life insurance for you and your family. Well-being allowance. Extensive leave policy to support work-life balance. Unlimited training resources and tools to support your development. 360 feedback framework to help you grow your impact. Employee Assistance Programme with professional counselling support. Flexible working options. A modern tech setup including Apple equipment and best in class tools. A stable, enjoyable working environment where delivery is valued. Equal Opportunity Employer We're proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. Privacy Disclaimer By clicking "Apply" for this Job, you agree that you have read and accepted our Privacy Statement relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.
21/07/2026
Full time
Who We Are Allwyn Lottery Solutions is a global leader in digital lottery and gaming solutions and a proud subsidiary of Allwyn Entertainment Group, a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to make play better for all by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver innovative, scalable, and secure lottery solutions that evolve with the needs of players and operators. Our flagship platform, Genesis, provides a powerful foundation for lotteries worldwide, featuring: Player Account Management (PAM) for secure and seamless player experiences Draw-Based Games (DBG) for classic lottery draws Nexus Aggregator & Apollo RGS for e-Instants and Fast Play games Web & mobile applications for an enhanced and modern user experience Command Admin Portal for streamlined operations Optex Promotions to reward and engage players With a focus on cloud-based technologies, AI-driven analytics, and responsible gaming, we empower lotteries to reach new players, expand engagement, and achieve sustainable growth in an evolving digital landscape. At Allwyn Lottery Solutions, you'll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery. This role will be central to shaping the collection, storing, processing, and analysis of huge sets of data. The primary focus will be on architecting serverless AWS solutions for data streams, then developing, testing, implementing, and deploying them to our international clients. The role will lead data integration with our marketing technologies including our real time CDP. The Engineer will take a holistic view of their deliverables and provide 3rd line support to clients to help monitor, diagnose and continuously improve our data products. To be successful, the target candidate will have extensive and broad experience across the full stack of AWS data products. The candidate will have worked with traditional data warehousing, ERP systems, high volume e-commerce sites, digital marketing data sets and a variety of BI and Analytic tools. Purpose of Role To architect robust data ingestion streams for real time data processing, marketing technology and analytics Contribute to the platform logical and physical data models Develop ETL, ELT routines for structured analytics Develop a range of integrations to APIs, flat files and other external systems to support broader ecosphere Work with software developers to enhance gaming platform integration Support testing and deployment Develop automated monitoring, fault recovery and diagnosis Document output to a high level Mentor and train localised application support specialists Department Part of the Allwyn Lottery Solutions BI and CRM Product Unit, the team's objective is to deliver continuous support and enhancements to our customers' analytics and CRM capabilities, enabling data-driven decision-making and improved customer engagement Key Accountabilities Lead the development of AWS data solutions Lead adoption of new integration and data technologies Input into the AWS technology roadmap and strategy Champion best practice and standardisation of development Deliver best in class solutions in terms of robustness, recovery and resilienceDeliver continuous improvement to development methodologies and automation Skills & Experience Advanced AWS Serverless design and development experience specifically Streaming technologies such as SQS, Kinesis, MSK NoSQL stores such as DynamoDB Serverless compute development with Lambda and Glue Orchestration of serverless compute with MWAA and Step functions SQL data stores such as AWS Athena and Aurora Storage solutions, mainly S3 API development System monitoring with Cloudwatch Roles and Policies with IAM ML and AI with Sagemaker and Bedrock Advanced knowledge of Python and popular libraries such as Panda Data Frames Awareness of AWS prices and charges to enable development of cost effective solutions Experience of developing high volume and highly scalable data integrations using a variety of techniques and technologies including files, SQL, queues and APIs Experience with integrating to ERP, Ecommerce and CRM integrations over a range of interfaces and formats including SQL, JSON, XML and CSV Strong experience with performance tuning and monitoring techniques at an application and data platform level Highly developed data modelling and SQL skills Characteristics Problem Solving: Solve unique and complex problems with a focus on business impact Curious about new and upcoming technologies with the willingness to access, learn and integrate them into existing systems Flexible and capable of working unsupervised alone or in small teams in situations where priorities and workload can change quickly Continuous Improvement: Develops strategies to address iterative improvement Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution At Allwyn LS, we know that great delivery starts with great people. Here's what we offer to support you and help you thrive: A dynamic team of experts who'll support your growth and share your ambition. A diverse, international environment full of opportunity and challenge. A comprehensive onboarding experience to set you up for success. Competitive salary with a performance-based bonus. Health and life insurance for you and your family. Well-being allowance. Extensive leave policy to support work-life balance. Unlimited training resources and tools to support your development. 360 feedback framework to help you grow your impact. Employee Assistance Programme with professional counselling support. Flexible working options. A modern tech setup including Apple equipment and best in class tools. A stable, enjoyable working environment where delivery is valued. Equal Opportunity Employer We're proud to be an Equal Opportunity Employer. Allwyn values diversity and inclusion and welcomes applications from all backgrounds. We make employment decisions based on business needs, role requirements, and individual qualifications - never on age, disability, gender identity, sexual orientation, pregnancy, race, religion, or background. Privacy Disclaimer By clicking "Apply" for this Job, you agree that you have read and accepted our Privacy Statement relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.
Power BI Developer - ASAP Start We're currently looking for an experienced Power BI Developer to join an organisation on an initial 3-month contract, with a strong likelihood of extension. This is a hands on role focused on enhancing an existing Microsoft Fabric and Power BI reporting platform. You'll work closely with business stakeholders to review the current data architecture, optimise reporting capabilities, and deliver insightful dashboards that support operational decision making across the business. Tech Stack & Environment Microsoft Data Platform Microsoft Fabric Power BI Lakehouse Architecture Semantic Models Dataflows & ETL Data Modelling Data Integration SaaS platform integrations API connectivity Data ingestion & transformation Data quality and governance Reporting & Analytics Interactive dashboards Operational reporting KPI development Self service reporting Performance optimisation What You'll Be Doing Review and optimise an existing Microsoft Fabric and Lakehouse environment Assess current data models, semantic models, ETL processes and reporting architecture Recommend improvements around performance, scalability, governance and security Integrate data from multiple business systems and APIs Design and develop operational reports and interactive Power BI dashboards Build robust data models, measures and KPIs Work directly with stakeholders to gather requirements and translate business needs into reporting solutions Advise on reporting best practice, automation and self service analytics Deliver end user training and knowledge transfer to ensure a sustainable reporting platform What We're Looking For Proven commercial experience developing Power BI solutions Strong experience with Microsoft Fabric and/or Azure Data Platform technologies Experience designing and optimising Lakehouse architectures Strong data modelling and ETL experience Experience integrating SaaS platforms and APIs Excellent stakeholder management and business analysis skills Ability to work independently and deliver within a contract environment Strong communication, documentation and knowledge transfer skills Contract Details Start Date: ASAP Duration: Initial 3 months (likely to extend) Location: Remote / Hybrid If you're a Power BI Developer with strong Microsoft Fabric experience looking for your next contract, we'd love to hear from you. Apply now or get in touch for more details.
21/07/2026
Full time
Power BI Developer - ASAP Start We're currently looking for an experienced Power BI Developer to join an organisation on an initial 3-month contract, with a strong likelihood of extension. This is a hands on role focused on enhancing an existing Microsoft Fabric and Power BI reporting platform. You'll work closely with business stakeholders to review the current data architecture, optimise reporting capabilities, and deliver insightful dashboards that support operational decision making across the business. Tech Stack & Environment Microsoft Data Platform Microsoft Fabric Power BI Lakehouse Architecture Semantic Models Dataflows & ETL Data Modelling Data Integration SaaS platform integrations API connectivity Data ingestion & transformation Data quality and governance Reporting & Analytics Interactive dashboards Operational reporting KPI development Self service reporting Performance optimisation What You'll Be Doing Review and optimise an existing Microsoft Fabric and Lakehouse environment Assess current data models, semantic models, ETL processes and reporting architecture Recommend improvements around performance, scalability, governance and security Integrate data from multiple business systems and APIs Design and develop operational reports and interactive Power BI dashboards Build robust data models, measures and KPIs Work directly with stakeholders to gather requirements and translate business needs into reporting solutions Advise on reporting best practice, automation and self service analytics Deliver end user training and knowledge transfer to ensure a sustainable reporting platform What We're Looking For Proven commercial experience developing Power BI solutions Strong experience with Microsoft Fabric and/or Azure Data Platform technologies Experience designing and optimising Lakehouse architectures Strong data modelling and ETL experience Experience integrating SaaS platforms and APIs Excellent stakeholder management and business analysis skills Ability to work independently and deliver within a contract environment Strong communication, documentation and knowledge transfer skills Contract Details Start Date: ASAP Duration: Initial 3 months (likely to extend) Location: Remote / Hybrid If you're a Power BI Developer with strong Microsoft Fabric experience looking for your next contract, we'd love to hear from you. Apply now or get in touch for more details.
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.
Data Engineer (Security Cleared-Outside IR35) Hertfordshire Hybrid (1 day on site per week) Contract We're looking for an experienced Data Engineer to join a high-profile digital transformation programme delivering modern cloud-based data solutions for the UK public sector. Working within a talented technical team, you'll design and build scalable data pipelines, support complex data migration activities and help deliver secure, high-quality data solutions using modern AWS technologies. You must have active SC clearance for this role. Key responsibilities Design, develop and maintain data pipelines and ETL processes Build scalable data migration and transformation solutions Ensure data quality, validation and integrity throughout the migration process Work with cloud technologies to deliver secure, reliable data solutions Collaborate with architects, developers and stakeholders to deliver successful project outcomes Support testing, deployment and ongoing optimisation Skills & experience We're looking for experience with: Python and SQL ETL/data migration and transformation AWS cloud services Data modelling, validation and quality assurance Relational databases and large-scale datasets Strong analytical and problem-solving skills Experience working with healthcare or other highly regulated environments would be beneficial but isn't essential. Interested? Please send your CV for immediate consideration. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
21/07/2026
Contractor
Data Engineer (Security Cleared-Outside IR35) Hertfordshire Hybrid (1 day on site per week) Contract We're looking for an experienced Data Engineer to join a high-profile digital transformation programme delivering modern cloud-based data solutions for the UK public sector. Working within a talented technical team, you'll design and build scalable data pipelines, support complex data migration activities and help deliver secure, high-quality data solutions using modern AWS technologies. You must have active SC clearance for this role. Key responsibilities Design, develop and maintain data pipelines and ETL processes Build scalable data migration and transformation solutions Ensure data quality, validation and integrity throughout the migration process Work with cloud technologies to deliver secure, reliable data solutions Collaborate with architects, developers and stakeholders to deliver successful project outcomes Support testing, deployment and ongoing optimisation Skills & experience We're looking for experience with: Python and SQL ETL/data migration and transformation AWS cloud services Data modelling, validation and quality assurance Relational databases and large-scale datasets Strong analytical and problem-solving skills Experience working with healthcare or other highly regulated environments would be beneficial but isn't essential. Interested? Please send your CV for immediate consideration. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
