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.
23/06/2026
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.
About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
23/06/2026
Full time
About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Senior UX/UI Product Designer Office-based in Moorgate, London - 4 days per week, with one flexible day The Fortinet data security team helps global customers protect their intellectual property and sensitive data through a unified solution for data loss prevention, insider risk management, and Shadow AI governance that integrates with Fortinet's Security Fabric. As a Senior UX/UI Designer, you will collect and translate user insights into efficient workflows, UX, and UI designs for cybersecurity professionals performing complex tasks. The UX team plays a crucial role within the product and engineering organisation - gathering insights, translating business requirements, advocating for users, and bringing our experiences to life through intuitive interfaces. This is a collaboration centric role that works closely with colleagues across product, engineering, and customer success. It also offers a genuine opportunity to help shape the design practice itself - building out standards, systems, and research foundations, and championing the value of strong UX/UI skills across the organisation. Core Responsibilities Lead the end to end design process - discovery research, problem framing, ideation, co creation, and usability testing - across all fidelity levels, from rough concepts and wireframes to high fidelity prototypes. Conduct user research and validation activities that support evidence based decision making, drawing on both generative and evaluative methods. Synthesize findings into clear, actionable insights and communicate them to stakeholders through reports, journey maps, and opportunity frameworks. Advocate for users in cross functional discussions, helping product managers and engineers make evidence based decisions and driving alignment among participants. Partner with product management and engineering to translate product initiatives into user centered solutions, helping identify user needs, risks, and opportunities throughout the design process. Drive user centered design, consistency, and usability across teams; contribute to and expand our design library and system, and define research best practices for the team. Drive multiple initiatives across varying scopes, adapting the depth of research to time and resource constraints - knowing when a quick, informal test is enough and when a deeper study is warranted. Role Requirements Bachelor's degree in Design, Human Computer Interaction, Computer Science, or a related field. A proactive self starter with proven experience leading design projects of varying scale, comfortable with ambiguity, and driving work forward with user centered design. Excellent interaction and visual design skills, supported by a portfolio of end to end projects. Fluent across generative and evaluative research methods, able to scope research appropriately to the time and resources available, and to maintain a research repository and best practices for the team. Strong communication and presentation skills - able to listen, proactively address feedback, and represent and advocate for users and UX in an engineering centric organisation. Excellent collaboration with multidisciplinary teams - product management, engineering, customer success, and users. Focused on customer and end user personas, using data to inform design options and decisions. Experienced with standard UX design (Figma, Sketch, Framer, Storybook) and product analytics tools (Pendo, Amplitude) to support data driven design.
23/06/2026
Full time
Senior UX/UI Product Designer Office-based in Moorgate, London - 4 days per week, with one flexible day The Fortinet data security team helps global customers protect their intellectual property and sensitive data through a unified solution for data loss prevention, insider risk management, and Shadow AI governance that integrates with Fortinet's Security Fabric. As a Senior UX/UI Designer, you will collect and translate user insights into efficient workflows, UX, and UI designs for cybersecurity professionals performing complex tasks. The UX team plays a crucial role within the product and engineering organisation - gathering insights, translating business requirements, advocating for users, and bringing our experiences to life through intuitive interfaces. This is a collaboration centric role that works closely with colleagues across product, engineering, and customer success. It also offers a genuine opportunity to help shape the design practice itself - building out standards, systems, and research foundations, and championing the value of strong UX/UI skills across the organisation. Core Responsibilities Lead the end to end design process - discovery research, problem framing, ideation, co creation, and usability testing - across all fidelity levels, from rough concepts and wireframes to high fidelity prototypes. Conduct user research and validation activities that support evidence based decision making, drawing on both generative and evaluative methods. Synthesize findings into clear, actionable insights and communicate them to stakeholders through reports, journey maps, and opportunity frameworks. Advocate for users in cross functional discussions, helping product managers and engineers make evidence based decisions and driving alignment among participants. Partner with product management and engineering to translate product initiatives into user centered solutions, helping identify user needs, risks, and opportunities throughout the design process. Drive user centered design, consistency, and usability across teams; contribute to and expand our design library and system, and define research best practices for the team. Drive multiple initiatives across varying scopes, adapting the depth of research to time and resource constraints - knowing when a quick, informal test is enough and when a deeper study is warranted. Role Requirements Bachelor's degree in Design, Human Computer Interaction, Computer Science, or a related field. A proactive self starter with proven experience leading design projects of varying scale, comfortable with ambiguity, and driving work forward with user centered design. Excellent interaction and visual design skills, supported by a portfolio of end to end projects. Fluent across generative and evaluative research methods, able to scope research appropriately to the time and resources available, and to maintain a research repository and best practices for the team. Strong communication and presentation skills - able to listen, proactively address feedback, and represent and advocate for users and UX in an engineering centric organisation. Excellent collaboration with multidisciplinary teams - product management, engineering, customer success, and users. Focused on customer and end user personas, using data to inform design options and decisions. Experienced with standard UX design (Figma, Sketch, Framer, Storybook) and product analytics tools (Pendo, Amplitude) to support data driven design.
Salary: £70,000 - 70,000 per year Requirements We require significant senior backend development experience with strong Python proficiency, including async programming, concurrency, and multithreading. We require expertise in RESTful API design, OpenAPI/Swagger documentation, and API lifecycle best practices. We require hands on experience with ML libraries including PyTorch, PySpark, scikit learn, and Hugging Face Transformers. We require proficiency with AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. We require proven experience with Git, unit testing, containerisation, and agile methodologies, including Jira and Confluence. We require good knowledge of generative AI, machine learning, deep learning, or NLP. We require strong communication skills and the ability to explain technical concepts to varied audiences. We require a bachelors degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related technical field; a masters degree or PhD is preferred. We consider advanced certifications in AI, machine learning, cloud computing, or data engineering highly advantageous. We consider a professional accounting qualification desirable but not required. We welcome experience with Microsoft Graph API. We welcome background in audit, financial services, or regulated industry technology. Responsibilities We lead hands on technical delivery of AI projects and contribute actively to codebases and architectural decisions. We develop and deploy production grade AI systems using Azure, Databricks, and generative AI tooling. We own the implementation of ML pipelines, APIs, and data integration workflows. We enforce MLOps best practices, coding standards, version control, and performance optimisation. We collaborate cross functionally with data scientists, product managers, platform engineers, QA, and audit professionals. We mentor junior engineers and contribute to internal capability building and knowledge sharing initiatives. Technologies AI API Azure Backend Cloud Confluence Databricks Git JIRA Machine Learning Network OpenAPI PyTorch Python PySpark Swagger More We are a Big 4 professional services firm with an Audit Technology team that is at the forefront of innovation, combining artificial intelligence, data engineering, analytics, and software development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, our team has experienced rapid growth and is building exciting products at scale. This is a permanent, full time hybrid role based in London, Manchester, Leeds, or Glasgow, with flexible working available across multiple UK locations. We offer a competitive salary and benefits package, and the chance to join a rapidly growing technology capability within one of the worlds leading professional services firms. last updated 25 week of 2026
23/06/2026
Full time
Salary: £70,000 - 70,000 per year Requirements We require significant senior backend development experience with strong Python proficiency, including async programming, concurrency, and multithreading. We require expertise in RESTful API design, OpenAPI/Swagger documentation, and API lifecycle best practices. We require hands on experience with ML libraries including PyTorch, PySpark, scikit learn, and Hugging Face Transformers. We require proficiency with AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. We require proven experience with Git, unit testing, containerisation, and agile methodologies, including Jira and Confluence. We require good knowledge of generative AI, machine learning, deep learning, or NLP. We require strong communication skills and the ability to explain technical concepts to varied audiences. We require a bachelors degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related technical field; a masters degree or PhD is preferred. We consider advanced certifications in AI, machine learning, cloud computing, or data engineering highly advantageous. We consider a professional accounting qualification desirable but not required. We welcome experience with Microsoft Graph API. We welcome background in audit, financial services, or regulated industry technology. Responsibilities We lead hands on technical delivery of AI projects and contribute actively to codebases and architectural decisions. We develop and deploy production grade AI systems using Azure, Databricks, and generative AI tooling. We own the implementation of ML pipelines, APIs, and data integration workflows. We enforce MLOps best practices, coding standards, version control, and performance optimisation. We collaborate cross functionally with data scientists, product managers, platform engineers, QA, and audit professionals. We mentor junior engineers and contribute to internal capability building and knowledge sharing initiatives. Technologies AI API Azure Backend Cloud Confluence Databricks Git JIRA Machine Learning Network OpenAPI PyTorch Python PySpark Swagger More We are a Big 4 professional services firm with an Audit Technology team that is at the forefront of innovation, combining artificial intelligence, data engineering, analytics, and software development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, our team has experienced rapid growth and is building exciting products at scale. This is a permanent, full time hybrid role based in London, Manchester, Leeds, or Glasgow, with flexible working available across multiple UK locations. We offer a competitive salary and benefits package, and the chance to join a rapidly growing technology capability within one of the worlds leading professional services firms. last updated 25 week of 2026
Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex Core elements: Man-management + communication skills. Azure-native services (PaaS + IaaS). DevOps/Platform Engineer/Automation skills. Ownership of enterprise landing zones. Terraform-driven IaC strategy. Leading teams/mentoring. Stakeholder management & communication. Operating model/platform governance Overview of the Senior Azure Platform/Cloud Operations Lead position: A large organisation that has far reaching impacts on the environment, the community and our ecosystem, seek an experienced Senior Azure Platform/Cloud Operations Lead to help play a critical role in the design, implementation, and ongoing operation of the companies cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. You will be in a hands-on role that demands strong technical expertise, a problem-solving mindset, and a proactive approach to continuous improvement. You will support the development and operation of cloud Landing Zones and act as a trusted delivery partner for internal stakeholders and project teams. By applying DevOps and automation principles, you will reduce manual overhead, accelerate delivery cycles, and improve operational resilience. You will contribute to broader strategic goals by supporting the shift from traditional on-premises infrastructure to scalable, cloud-native services aligned with an "as-a-service" delivery model. As the Senior Azure Platform/Cloud Operations Lead you will also work closely with security, compliance, and disaster recovery teams to ensure that cloud services are not only high-performing and flexible, but also resilient and governed appropriately. As they continue to grow its cloud footprint, this position offers an opportunity to shape how cloud services are delivered across the business. It is ideal for someone looking to deepen their technical expertise while contributing to a major enterprise-wide transformation in digital infrastructure. Responsibilities for the Senior Azure Platform/Cloud Operations Lead position: Azure Cloud Engineering: Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation: Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance: Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Collaborate with Security Operations and Compliance teams to remediate vulnerabilities and audit issues. Knowledge And Skills Needed for the Senior Azure Platform/Cloud Operations Lead position: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong Scripting skills (eg, Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (eg, PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex
23/06/2026
Full time
Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex Core elements: Man-management + communication skills. Azure-native services (PaaS + IaaS). DevOps/Platform Engineer/Automation skills. Ownership of enterprise landing zones. Terraform-driven IaC strategy. Leading teams/mentoring. Stakeholder management & communication. Operating model/platform governance Overview of the Senior Azure Platform/Cloud Operations Lead position: A large organisation that has far reaching impacts on the environment, the community and our ecosystem, seek an experienced Senior Azure Platform/Cloud Operations Lead to help play a critical role in the design, implementation, and ongoing operation of the companies cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. You will be in a hands-on role that demands strong technical expertise, a problem-solving mindset, and a proactive approach to continuous improvement. You will support the development and operation of cloud Landing Zones and act as a trusted delivery partner for internal stakeholders and project teams. By applying DevOps and automation principles, you will reduce manual overhead, accelerate delivery cycles, and improve operational resilience. You will contribute to broader strategic goals by supporting the shift from traditional on-premises infrastructure to scalable, cloud-native services aligned with an "as-a-service" delivery model. As the Senior Azure Platform/Cloud Operations Lead you will also work closely with security, compliance, and disaster recovery teams to ensure that cloud services are not only high-performing and flexible, but also resilient and governed appropriately. As they continue to grow its cloud footprint, this position offers an opportunity to shape how cloud services are delivered across the business. It is ideal for someone looking to deepen their technical expertise while contributing to a major enterprise-wide transformation in digital infrastructure. Responsibilities for the Senior Azure Platform/Cloud Operations Lead position: Azure Cloud Engineering: Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation: Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance: Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Collaborate with Security Operations and Compliance teams to remediate vulnerabilities and audit issues. Knowledge And Skills Needed for the Senior Azure Platform/Cloud Operations Lead position: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong Scripting skills (eg, Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (eg, PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Senior Azure Platform/Cloud Operations Lead Huge opportunity to grow - £85,000 to £90,000 plus excellent benefits - Flexible on 2 days a week in the office (preferred presence, but not essential) - Worthing, West Sussex
The Force s Data Architect is accountable for the design and build of the Force s overall data architecture, taking full responsibility for its implementation and its ability to serve the data required to produce information, intelligence and insights products for the Force and its partners. The role is integral the Force being able to create value from the vast amount of data it collects, in particular the data it uses to create intelligence, carry out research and investigations, and make decisions across all levels, commands and services, from strategic to operational, to stop crime and ASB, to protect people from harm and to help those in need. They will make a significant contribution to both force and regional data strategy, championing the importance of good data architecture across policing, advising on and building the right data structures, and they will lead any significant data projects that will to help the Force achieve its priorities and outcomes. The role requires a highly comprehensive level of knowledge and functional understanding of the modern tools, technicians, technologies, platforms, standards and practices of the data professions and industry, with an innate ability to explain their purpose, use and value to non-technical people. They will cultivate strong and effective working relationships with individuals, teams and colleagues, both internal and external to the Force, and they will be expected to participate in regional design authorities representing the interests of the Force in national data strategy and architecture. The role holder will demonstrate the Force values at all times, and they will carry out the functions of this role in accordance with the principles of the Code of Ethics. The aim of the Code of Ethics is to support each member of the policing profession to deliver the highest professional standards in their service to the public. CORE WORK AREAS Leadership Subject matter expert on data architecture for the Force and, as required provides expertise to partner organisations, and representing the Force s interest in regard to data. Accountable, on behalf of the Chief Technical Information Officer (CTIO) for the design and build of the Force s overall data architecture, taking full responsibility for its implementation. Responsible for the management, storage and provision of the data required to produce information, intelligence and insights products for the Force and its partners. Accountable for the selection and adoption of appropriate data tools, technologies, and frameworks to optimise data management and enhance data analytics capabilities across the Force. Provides technical leadership and mentorship to the data engineering, data analysis and BI development team, guiding them in best practices for these disciplines. Works in partnership with the Solutions Manager and their Principal Developer and Principal Database Administrator to continually develop the services and technical skills of the teams that make up the digital and data solutions department. Data Architecture Design Engages in national and regional data strategy. Develops, implements, and maintains a comprehensive and robust data architecture strategy, aligned to the strategic aims and the data-drive initiatives of the Force. Designs data models, data flows and integration and data storage that enable efficient and accurate data collection, integration, and analysis. Data Solutions Partners with and guides chief officers and heads of department across the Force to help them understand what is possible with data, turning their visions into tangible data solutions working together to build any related business case for investment and lead on its implementation. Works closely with performance, intelligence and data analysts, engaging with operational subject matter experts to understand and define the analytical requirements of the Force. Translates these requirements into effective data models, marts and structures that will support the production of the Forces analytics, predictive modelling and reporting capabilities. Data Governance Leads on the defining of the Force s data classification and standards, ensuring these are in line with these being defined nationally for crime and justice. Works with Head of IMU, Head of ICT Operations and both their senior teams to establish the Force s data access control mechanisms to maintain compliance with legal and regulatory requirements. Data Literacy and Quality Collaborates and fosters a data-driven culture by promoting data literacy, data governance practices, and data- driven decision-making across the organization. Establishes and works with cross-functional teams to identify and resolve data-related issues. Research, analyse and appraise the root cause, driving forward any relevant improvements to any processes, practices, and policies. Data Sources and Integration Investigates available data sources internally and externally, identifying opportunities to maximize the value that the organisation achieves from these assets and define processes to acquire and validate this data to make it usable. Maps data from source to target and establish current & future state based on business data requirements. Undertakes significant data migration programmes as required. Emerging Technologies Actively participates in professional networks seeking out emerging trends, advancements, and innovations in the field of data architecture and data management practices. Identifying opportunities, evaluates and introduces new tools, frameworks, and technologies where they will enhance the efficiency and effectiveness of policing data management.
23/06/2026
Contractor
The Force s Data Architect is accountable for the design and build of the Force s overall data architecture, taking full responsibility for its implementation and its ability to serve the data required to produce information, intelligence and insights products for the Force and its partners. The role is integral the Force being able to create value from the vast amount of data it collects, in particular the data it uses to create intelligence, carry out research and investigations, and make decisions across all levels, commands and services, from strategic to operational, to stop crime and ASB, to protect people from harm and to help those in need. They will make a significant contribution to both force and regional data strategy, championing the importance of good data architecture across policing, advising on and building the right data structures, and they will lead any significant data projects that will to help the Force achieve its priorities and outcomes. The role requires a highly comprehensive level of knowledge and functional understanding of the modern tools, technicians, technologies, platforms, standards and practices of the data professions and industry, with an innate ability to explain their purpose, use and value to non-technical people. They will cultivate strong and effective working relationships with individuals, teams and colleagues, both internal and external to the Force, and they will be expected to participate in regional design authorities representing the interests of the Force in national data strategy and architecture. The role holder will demonstrate the Force values at all times, and they will carry out the functions of this role in accordance with the principles of the Code of Ethics. The aim of the Code of Ethics is to support each member of the policing profession to deliver the highest professional standards in their service to the public. CORE WORK AREAS Leadership Subject matter expert on data architecture for the Force and, as required provides expertise to partner organisations, and representing the Force s interest in regard to data. Accountable, on behalf of the Chief Technical Information Officer (CTIO) for the design and build of the Force s overall data architecture, taking full responsibility for its implementation. Responsible for the management, storage and provision of the data required to produce information, intelligence and insights products for the Force and its partners. Accountable for the selection and adoption of appropriate data tools, technologies, and frameworks to optimise data management and enhance data analytics capabilities across the Force. Provides technical leadership and mentorship to the data engineering, data analysis and BI development team, guiding them in best practices for these disciplines. Works in partnership with the Solutions Manager and their Principal Developer and Principal Database Administrator to continually develop the services and technical skills of the teams that make up the digital and data solutions department. Data Architecture Design Engages in national and regional data strategy. Develops, implements, and maintains a comprehensive and robust data architecture strategy, aligned to the strategic aims and the data-drive initiatives of the Force. Designs data models, data flows and integration and data storage that enable efficient and accurate data collection, integration, and analysis. Data Solutions Partners with and guides chief officers and heads of department across the Force to help them understand what is possible with data, turning their visions into tangible data solutions working together to build any related business case for investment and lead on its implementation. Works closely with performance, intelligence and data analysts, engaging with operational subject matter experts to understand and define the analytical requirements of the Force. Translates these requirements into effective data models, marts and structures that will support the production of the Forces analytics, predictive modelling and reporting capabilities. Data Governance Leads on the defining of the Force s data classification and standards, ensuring these are in line with these being defined nationally for crime and justice. Works with Head of IMU, Head of ICT Operations and both their senior teams to establish the Force s data access control mechanisms to maintain compliance with legal and regulatory requirements. Data Literacy and Quality Collaborates and fosters a data-driven culture by promoting data literacy, data governance practices, and data- driven decision-making across the organization. Establishes and works with cross-functional teams to identify and resolve data-related issues. Research, analyse and appraise the root cause, driving forward any relevant improvements to any processes, practices, and policies. Data Sources and Integration Investigates available data sources internally and externally, identifying opportunities to maximize the value that the organisation achieves from these assets and define processes to acquire and validate this data to make it usable. Maps data from source to target and establish current & future state based on business data requirements. Undertakes significant data migration programmes as required. Emerging Technologies Actively participates in professional networks seeking out emerging trends, advancements, and innovations in the field of data architecture and data management practices. Identifying opportunities, evaluates and introduces new tools, frameworks, and technologies where they will enhance the efficiency and effectiveness of policing data management.
Data Modeler (Corporate Functions)Applyremote type: Hybrid - Remote and Onsitelocations: Belfast, Northern Irelandtime type: Full timeposted on: Posted Yesterdayjob requisition id: 26-480We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions. Overview of the Role You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead. Your Day-to-Day - We do what others say can't be done Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries Ensure data consistency and integrity across domains through well-governed master data modelling practices Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets Act as the liaison between business domain owners and the data platform team Your Profile - Ready to Join the Pack? Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes Hands-on experience with dbt - model development, testing, documentation, and macros Advanced SQL skills with ability to profile, analyze, and validate data against business definitions Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams Nice to Have Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster) Exposure to Snowflake as the analytics warehouse platform Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms Experience in a manufacturing, semiconductor, or high-tech industry environment Familiarity with Agile delivery methodology
23/06/2026
Full time
Data Modeler (Corporate Functions)Applyremote type: Hybrid - Remote and Onsitelocations: Belfast, Northern Irelandtime type: Full timeposted on: Posted Yesterdayjob requisition id: 26-480We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions. Overview of the Role You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead. Your Day-to-Day - We do what others say can't be done Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries Ensure data consistency and integrity across domains through well-governed master data modelling practices Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets Act as the liaison between business domain owners and the data platform team Your Profile - Ready to Join the Pack? Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes Hands-on experience with dbt - model development, testing, documentation, and macros Advanced SQL skills with ability to profile, analyze, and validate data against business definitions Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams Nice to Have Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster) Exposure to Snowflake as the analytics warehouse platform Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms Experience in a manufacturing, semiconductor, or high-tech industry environment Familiarity with Agile delivery methodology
Amazon is looking for a Senior Business Intelligence Engineer in Greater London to facilitate analytics that influence strategic decisions. You will be responsible for building reliable data products, mentoring peers, and presenting analyses to senior leadership. The ideal candidate has extensive experience in data extraction, statistical analysis, and familiarity with AWS technologies. Join Amazon's dynamic team and contribute to impactful business insights.
23/06/2026
Full time
Amazon is looking for a Senior Business Intelligence Engineer in Greater London to facilitate analytics that influence strategic decisions. You will be responsible for building reliable data products, mentoring peers, and presenting analyses to senior leadership. The ideal candidate has extensive experience in data extraction, statistical analysis, and familiarity with AWS technologies. Join Amazon's dynamic team and contribute to impactful business insights.
Overview Job ID: AWS EMEA SARL (UK Branch) Revolutionize data solutions by bridging technical expertise with customer centric innovation. Transform complex data challenges into elegant cloud based architectures that empower organizations to unlock their full potential. You will be a strategic partner helping customers reimagine their data infrastructure, designing revolutionary cloud solutions that drive business transformation. By combining deep technical knowledge with collaborative problem solving, you will help organizations navigate their most complex data challenges and create scalable, efficient analytics platforms. You will be joining a passionate group of technical experts dedicated to pushing the boundaries of cloud computing. Our team thrives on solving complex problems, sharing knowledge, and supporting customers in their digital transformation journeys. We believe in continuous learning and creating meaningful impact through technology. Key Responsibilities Collaborate with sales teams to design comprehensive cloud based data solutions for diverse customer needs. Develop reference architectures and best practice documentation that showcase innovative approaches to data management. Engage with customers as a trusted technical advisor, translating complex technical concepts into actionable strategies. Create thought leadership content that demonstrates expertise in data analytics and cloud technologies. Partner with global technical specialists to develop and refine customer solution strategies. Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non technical audiences, including executive level stakeholders or clients. Preferred Qualifications Experience in infrastructure architecture, database architecture and networking. Benefits We value work life harmony with flexible work hours and arrangements. Our inclusive culture fosters a community of learning, curiosity, and mentorship. We offer mentorship and career advancement resources to support professional growth. Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. We do not discriminate on the basis of protected veteran status, disability, or other legally protected status.
23/06/2026
Full time
Overview Job ID: AWS EMEA SARL (UK Branch) Revolutionize data solutions by bridging technical expertise with customer centric innovation. Transform complex data challenges into elegant cloud based architectures that empower organizations to unlock their full potential. You will be a strategic partner helping customers reimagine their data infrastructure, designing revolutionary cloud solutions that drive business transformation. By combining deep technical knowledge with collaborative problem solving, you will help organizations navigate their most complex data challenges and create scalable, efficient analytics platforms. You will be joining a passionate group of technical experts dedicated to pushing the boundaries of cloud computing. Our team thrives on solving complex problems, sharing knowledge, and supporting customers in their digital transformation journeys. We believe in continuous learning and creating meaningful impact through technology. Key Responsibilities Collaborate with sales teams to design comprehensive cloud based data solutions for diverse customer needs. Develop reference architectures and best practice documentation that showcase innovative approaches to data management. Engage with customers as a trusted technical advisor, translating complex technical concepts into actionable strategies. Create thought leadership content that demonstrates expertise in data analytics and cloud technologies. Partner with global technical specialists to develop and refine customer solution strategies. Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non technical audiences, including executive level stakeholders or clients. Preferred Qualifications Experience in infrastructure architecture, database architecture and networking. Benefits We value work life harmony with flexible work hours and arrangements. Our inclusive culture fosters a community of learning, curiosity, and mentorship. We offer mentorship and career advancement resources to support professional growth. Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. We do not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior Marketing Data Analyst (12 month FTC) London - hybrid 3x a week in office Up to £80,000 This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function. The Company They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement. The Role Analyse performance across digital marketing channels to deliver actionable insights Partner with marketing stakeholders to optimise campaigns and improve ROI Provide insight into customer acquisition, engagement, retention and lifetime value Design and analyse A/B tests to support experimentation and performance improvement Build dashboards and enable self-serve analytics for non-technical stakeholders Collaborate with product, engineering and analytics teams on data solutions Act as a key point of contact for marketing analytics, influencing decision making Your Skills and Experience Strong SQL capability and experience working with large datasets Proven experience in performance analytics within a digital environment Hands-on experience with experimentation and A/B testing Familiarity with tools such as Google Analytics or similar platforms Experience with data visualisation tools such as Looker or equivalent Strong stakeholder management and communication skills Exposure to modern data tools such as DBT is beneficial What They Offer 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity Access to learning, development and a collaborative analytics community How to Apply If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.
23/06/2026
Full time
Senior Marketing Data Analyst (12 month FTC) London - hybrid 3x a week in office Up to £80,000 This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function. The Company They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement. The Role Analyse performance across digital marketing channels to deliver actionable insights Partner with marketing stakeholders to optimise campaigns and improve ROI Provide insight into customer acquisition, engagement, retention and lifetime value Design and analyse A/B tests to support experimentation and performance improvement Build dashboards and enable self-serve analytics for non-technical stakeholders Collaborate with product, engineering and analytics teams on data solutions Act as a key point of contact for marketing analytics, influencing decision making Your Skills and Experience Strong SQL capability and experience working with large datasets Proven experience in performance analytics within a digital environment Hands-on experience with experimentation and A/B testing Familiarity with tools such as Google Analytics or similar platforms Experience with data visualisation tools such as Looker or equivalent Strong stakeholder management and communication skills Exposure to modern data tools such as DBT is beneficial What They Offer 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity Access to learning, development and a collaborative analytics community How to Apply If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.
Business Intelligence Engineer, EU Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end to end network flows. Key job responsibilities Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization. Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real time network monitoring and decision making. Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers. Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization. A day in the life: You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions-building ETL pipelines, refining dashboards, and automating manual processes. Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long term scalable solutions. Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions. About the team The EU Network Flow and Technologies (NFT) team optimizes end to end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams. Our focus spans network flow management through real time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions. Basic Qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared). Experience with scripting language (e.g., Python, Java, or R). Experience with SQL. Experience in the data/BI space. Preferred Qualifications Master's degree, or Advanced technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis, co relation analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.
23/06/2026
Full time
Business Intelligence Engineer, EU Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end to end network flows. Key job responsibilities Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization. Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real time network monitoring and decision making. Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers. Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization. A day in the life: You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions-building ETL pipelines, refining dashboards, and automating manual processes. Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long term scalable solutions. Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions. About the team The EU Network Flow and Technologies (NFT) team optimizes end to end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams. Our focus spans network flow management through real time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions. Basic Qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared). Experience with scripting language (e.g., Python, Java, or R). Experience with SQL. Experience in the data/BI space. Preferred Qualifications Master's degree, or Advanced technical degree. Knowledge of data modeling and data pipeline design. Experience with statistical analysis, co relation analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.
Data Architect - Palantir Foundry (Health Domain) Location: UK (Hybrid) Travel: Leeds 1-2 days per week Rate: Up to £700 per day (Inside IR35) Contract Only Clearance: SC Eligible Required The Opportunity We are looking for a highly experienced Data Architect with deep expertise in Palantir Foundry to lead the design, modelling, and governance of next-generation data platforms across the UK healthcare sector. This role offers the opportunity to work on large-scale, high-impact programmes, shaping how clinical, operational, and population-level insights are delivered using one of the world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines, following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products, including: KPIs and analytics frameworks Data marts Clinical pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data governance, including: Security and classification models Purpose-based access controls Full lineage, auditability, and regulatory compliance Collaborate closely with clinicians, analysts, engineers, DevOps teams, and senior stakeholders (Desirable) Support Foundry deployments on AWS (S3, KMS, multi-AZ, CloudWatch, Well-Architected Framework) Required Experience Extensive hands-on Palantir Foundry expertise (pipelines, transforms, ontology, governance, operational apps) Strong understanding of healthcare datasets, including: EPR / PAS FHIR / HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling / semantic layer / ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills, with the ability to influence at all levels Highly Desirable Palantir Foundry Solution Architect Certification AWS Solutions Architect (Associate/Professional) TOGAF / BCS Enterprise Architecture Preferred Skills Knowledge of interoperability standards (FHIR, HL7v2, SNOMED CT) Experience with AWS-based data platforms Familiarity with DevOps practices (CI/CD, IaC, GitOps) Experience designing data quality and governance frameworks Why Apply? Work on national-scale healthcare transformation programmes Influence cutting-edge data architecture decisions Competitive day rate up to £700 Inside IR35 Flexible hybrid working Apply now with your CV or get in touch for a confidential discussion. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you. JBRP1_UKTJ
23/06/2026
Full time
Data Architect - Palantir Foundry (Health Domain) Location: UK (Hybrid) Travel: Leeds 1-2 days per week Rate: Up to £700 per day (Inside IR35) Contract Only Clearance: SC Eligible Required The Opportunity We are looking for a highly experienced Data Architect with deep expertise in Palantir Foundry to lead the design, modelling, and governance of next-generation data platforms across the UK healthcare sector. This role offers the opportunity to work on large-scale, high-impact programmes, shaping how clinical, operational, and population-level insights are delivered using one of the world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines, following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products, including: KPIs and analytics frameworks Data marts Clinical pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data governance, including: Security and classification models Purpose-based access controls Full lineage, auditability, and regulatory compliance Collaborate closely with clinicians, analysts, engineers, DevOps teams, and senior stakeholders (Desirable) Support Foundry deployments on AWS (S3, KMS, multi-AZ, CloudWatch, Well-Architected Framework) Required Experience Extensive hands-on Palantir Foundry expertise (pipelines, transforms, ontology, governance, operational apps) Strong understanding of healthcare datasets, including: EPR / PAS FHIR / HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling / semantic layer / ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills, with the ability to influence at all levels Highly Desirable Palantir Foundry Solution Architect Certification AWS Solutions Architect (Associate/Professional) TOGAF / BCS Enterprise Architecture Preferred Skills Knowledge of interoperability standards (FHIR, HL7v2, SNOMED CT) Experience with AWS-based data platforms Familiarity with DevOps practices (CI/CD, IaC, GitOps) Experience designing data quality and governance frameworks Why Apply? Work on national-scale healthcare transformation programmes Influence cutting-edge data architecture decisions Competitive day rate up to £700 Inside IR35 Flexible hybrid working Apply now with your CV or get in touch for a confidential discussion. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you. JBRP1_UKTJ
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn . Job Description We are looking for a Site Reliability Engineer to improve the reliability, and performance of business-critical systems. Reporting into our Head of SRE you will focus on AWS cloud infrastructure, DevOps tooling, and core SRE practices within a distributed, production environment. Main Responsibilities: Leadership & Strategy Define and implement SRE best practices across the organization. Proven expertise in production support, engineering, disaster recovery (DCR), automation, and cloud operations Mentor and guide a team of SREs, fostering growth. Collaborate with senior stakeholders to align reliability goals with business objectives. Reliability & Performance Establish SLIs, SLOs, and SLAs for critical services and ensure adherence. Drive initiatives to improve system resilience and reduce operational toil. Excellent in designing systems that detect and remediate issues without manual intervention Self Healing systems, Runbook automation Exposure to tools like Gremlin, Chaos Monkey, AWS FIS to simulate outages and improve fault tolerance Incident Management Act as the primary point of escalation for critical production issues and lead major incident response, root cause analysis, and postmortems. Perform detailed post-incident investigations to identify underlying causes. Document findings and share learnings to prevent recurrence. Implement preventive measures and continuous improvement processes. Observability Champion monitoring, logging, and alerting strategies using tools like Prometheus, Grafana, ELK, and AWS CloudWatch. Build real-time dashboards to visualize system health and reliability metrics. Configure intelligent alerting based on anomaly detection and thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge of AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared responsibility for uptime and performance across engineering teams. Qualifications Deep expertise with various AWS services. Advanced knowledge of monitoring and observability tools. Strong leadership capabilities with a focus on setting clear direction, aligning team efforts with organizational goals, and maintaining high levels of motivation and engagement across the team. Excellent communication skills, with the ability to articulate complex ideas, solutions, and feedback clearly to both technical and non-technical stakeholders. Adept at managing conflict constructively and facilitating consensus. Proven track record of building secure, mission-critical, high-volume transaction web-based software systems, preferably in regulated environments (finance and insurance industries). Hands on technologist working in software development includingleading anSRE team. Additional Information Hybrid working, 2 days a week our Nottingham Office Great compensation package and discretionary bonus Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here JBRP1_UKTJ
23/06/2026
Full time
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn . Job Description We are looking for a Site Reliability Engineer to improve the reliability, and performance of business-critical systems. Reporting into our Head of SRE you will focus on AWS cloud infrastructure, DevOps tooling, and core SRE practices within a distributed, production environment. Main Responsibilities: Leadership & Strategy Define and implement SRE best practices across the organization. Proven expertise in production support, engineering, disaster recovery (DCR), automation, and cloud operations Mentor and guide a team of SREs, fostering growth. Collaborate with senior stakeholders to align reliability goals with business objectives. Reliability & Performance Establish SLIs, SLOs, and SLAs for critical services and ensure adherence. Drive initiatives to improve system resilience and reduce operational toil. Excellent in designing systems that detect and remediate issues without manual intervention Self Healing systems, Runbook automation Exposure to tools like Gremlin, Chaos Monkey, AWS FIS to simulate outages and improve fault tolerance Incident Management Act as the primary point of escalation for critical production issues and lead major incident response, root cause analysis, and postmortems. Perform detailed post-incident investigations to identify underlying causes. Document findings and share learnings to prevent recurrence. Implement preventive measures and continuous improvement processes. Observability Champion monitoring, logging, and alerting strategies using tools like Prometheus, Grafana, ELK, and AWS CloudWatch. Build real-time dashboards to visualize system health and reliability metrics. Configure intelligent alerting based on anomaly detection and thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge of AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared responsibility for uptime and performance across engineering teams. Qualifications Deep expertise with various AWS services. Advanced knowledge of monitoring and observability tools. Strong leadership capabilities with a focus on setting clear direction, aligning team efforts with organizational goals, and maintaining high levels of motivation and engagement across the team. Excellent communication skills, with the ability to articulate complex ideas, solutions, and feedback clearly to both technical and non-technical stakeholders. Adept at managing conflict constructively and facilitating consensus. Proven track record of building secure, mission-critical, high-volume transaction web-based software systems, preferably in regulated environments (finance and insurance industries). Hands on technologist working in software development includingleading anSRE team. Additional Information Hybrid working, 2 days a week our Nottingham Office Great compensation package and discretionary bonus Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here JBRP1_UKTJ
Data Solution Architect Retail London I'm currently supporting a leading UK retail organisation undergoing a major data transformation programme and seeking an experienced Data Solution Architect to help shape the future of its customer data capabilities.This is an exciting opportunity to define and influence enterprise-wide customer data architecture, working across analytics, personalisation, CRM, loyalty and marketing functions to deliver scalable, secure and business-focused data solutions. Role & Responsibilities • Define target-state and transition-state customer data architectures• Design scalable customer data solutions that support analytics, personalisation and business growth• Lead architectural decisions around customer data management, identity resolution and master data management• Produce architecture artefacts and design documentation for engineering teams• Review solution designs for alignment with architecture principles and governance standards• Collaborate with Data, Analytics, CRM, Loyalty, Marketing and Technology stakeholders• Drive best practice across data integration, governance, quality and security Skills & Experience • Proven experience as a Data or Solution Architect within a large-scale retail environment• Strong background in Customer Data Architecture and Customer Data Management• Experience designing Data Lake and Lakehouse solutions• Strong understanding of Analytics, Reporting and Customer Insight platforms• Knowledge of Data Governance, Security and Enterprise Architecture principles• Experience presenting solutions and influencing senior stakeholders• Ability to create and govern architecture standards, design principles and design decisions Desirable Experience • Azure-based data platforms and services• Databricks• Machine Learning and AI-driven personalisation solutions• Agile delivery environments• Mentoring and reviewing architecture produced by others Contract Details • 6-Month Initial Contract• Up to £750 per day (Umbrella)• Inside IR35• Hybrid Working - 3 Days per Week Onsite in LondonIf you're interested in hearing more, or know someone who could be a great fit, please get in touch.
23/06/2026
Contractor
Data Solution Architect Retail London I'm currently supporting a leading UK retail organisation undergoing a major data transformation programme and seeking an experienced Data Solution Architect to help shape the future of its customer data capabilities.This is an exciting opportunity to define and influence enterprise-wide customer data architecture, working across analytics, personalisation, CRM, loyalty and marketing functions to deliver scalable, secure and business-focused data solutions. Role & Responsibilities • Define target-state and transition-state customer data architectures• Design scalable customer data solutions that support analytics, personalisation and business growth• Lead architectural decisions around customer data management, identity resolution and master data management• Produce architecture artefacts and design documentation for engineering teams• Review solution designs for alignment with architecture principles and governance standards• Collaborate with Data, Analytics, CRM, Loyalty, Marketing and Technology stakeholders• Drive best practice across data integration, governance, quality and security Skills & Experience • Proven experience as a Data or Solution Architect within a large-scale retail environment• Strong background in Customer Data Architecture and Customer Data Management• Experience designing Data Lake and Lakehouse solutions• Strong understanding of Analytics, Reporting and Customer Insight platforms• Knowledge of Data Governance, Security and Enterprise Architecture principles• Experience presenting solutions and influencing senior stakeholders• Ability to create and govern architecture standards, design principles and design decisions Desirable Experience • Azure-based data platforms and services• Databricks• Machine Learning and AI-driven personalisation solutions• Agile delivery environments• Mentoring and reviewing architecture produced by others Contract Details • 6-Month Initial Contract• Up to £750 per day (Umbrella)• Inside IR35• Hybrid Working - 3 Days per Week Onsite in LondonIf you're interested in hearing more, or know someone who could be a great fit, please get in touch.
SENIOR DATA ENGINEER £75,000 LONDON This is a brilliant opportunity to join a well-known, purpose-led organisation at the start of a major data transformation. You'll play a pivotal role in building a modern data platform from the ground up, working in a highly creative environment with real impact across the business. THE COMPANY Our client is a large, publicly funded organisation within the arts and entertainment space, employing around 1,000 people across multiple iconic venues. They've recently brought in a new Director of Data & Insights to elevate their data capabilities, with a strong focus on innovation, AI, and unlocking value from their data.This is a greenfield opportunity where you'll help shape the data strategy and engineering standards in a collaborative, non-corporate environment. THE ROLE Lead the design and delivery of a cloud-based Lakehouse platform using Microsoft Fabric Build scalable data pipelines and implement Medallion architecture Develop robust data models across multiple business domains Establish best practice engineering standards and data governance Manage and mentor a small team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise in data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working across multiple datasets/business domains Exposure to AI or advanced analytics use cases Background in high-growth or less mature environments SALARY AND BENEFITS £75,000 Hybrid working (2-3 days in office) Pension scheme Inclusive and purpose-driven working environment HOW TO APPLY Please register your interest by sending your CV to Harry Lack through the 'Apply' link
23/06/2026
Full time
SENIOR DATA ENGINEER £75,000 LONDON This is a brilliant opportunity to join a well-known, purpose-led organisation at the start of a major data transformation. You'll play a pivotal role in building a modern data platform from the ground up, working in a highly creative environment with real impact across the business. THE COMPANY Our client is a large, publicly funded organisation within the arts and entertainment space, employing around 1,000 people across multiple iconic venues. They've recently brought in a new Director of Data & Insights to elevate their data capabilities, with a strong focus on innovation, AI, and unlocking value from their data.This is a greenfield opportunity where you'll help shape the data strategy and engineering standards in a collaborative, non-corporate environment. THE ROLE Lead the design and delivery of a cloud-based Lakehouse platform using Microsoft Fabric Build scalable data pipelines and implement Medallion architecture Develop robust data models across multiple business domains Establish best practice engineering standards and data governance Manage and mentor a small team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise in data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working across multiple datasets/business domains Exposure to AI or advanced analytics use cases Background in high-growth or less mature environments SALARY AND BENEFITS £75,000 Hybrid working (2-3 days in office) Pension scheme Inclusive and purpose-driven working environment HOW TO APPLY Please register your interest by sending your CV to Harry Lack through the 'Apply' link
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
23/06/2026
Contractor
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Join us at a pivotal moment to help maintain and evolve our B2C products used by millions, while playing a key role in building our new B2B offering from the ground up. You'll build the TypeScript/NestJS services powering our mobile app and ship full-stack features (backend through frontend) on our web products. Who You Are You're a Product Engineer first, an engineer second. Code is a tool, the goal is user value and business impact. You're backend-heavy and full-stack capable. Your home base is backend (TypeScript/NestJS), and you ship full-stack on the web (React/Next.js/similar) when the work calls for it. Angular & Vue experience is fine! You build for mobile without building the mobile app. You design APIs and services that serve mobile clients beautifully, accounting for offline, network, battery, and app-release realities and are able to partner closely with mobile engineers. You own features end-to-end. From API design and data modelling to web frontend implementation, deployment, and post-launch iteration. You're a proactive collaborator. You ask the right questions, propose solutions, and work effectively with teammates whose depth complements yours, including mobile, design, and product. You thrive in fast-paced, early-stage environments where speed, user feedback, and product-market fit drive decisions. What You Bring You have strong backend depth in TypeScript and NestJS (or comparable Node.js frameworks). You bring solid web frontend skills with React, Next.js, or similar enough to ship polished, production-quality interfaces independently. You have a working knowledge of cloud infrastructure; ideally GCP (Cloud Run, Cloud Functions, Firestore), CI/CD pipelines, and event-driven patterns (BullMQ/Redis or similar). You can ship and operate your own services. You have awareness of mobile constraints. You know what makes an API painful or delightful to consume from a mobile client, even if you don't write the mobile code yourself. You value pragmatism over purism. You make calibrated calls on architecture, scale, and tech debt based on what the product actually needs. How You Work You push back on the why, not just the how. You ask "why are we building this?" before "how do we build this?" You propose simpler alternatives when a 3-day version captures 90% of a 3-week feature's value. You're comfortable telling PMs and designers when something isn't worth building. You treat technical debt as a tool. You ship throwaway prototypes to validate hypotheses with real users. You delete what flops and re-architect what succeeds. You know when "the right way" is a luxury vs. a necessity, and can tell the difference. "Done" to you means users are using it. A merged PR isn't done. A feature is done when it's live, adopted, and the metrics prove it was worth building. You actively monitor analytics post-launch. You're a strategic partner. You sit with PMs and designers to shape what we build and what we don't. You're as comfortable in a product strategy conversation as you are in a code review. You contribute insights from user data, technical constraints, and implementation realities to inform product decisions. Must be based and have the right to work in the United Kingdom.
23/06/2026
Full time
Join us at a pivotal moment to help maintain and evolve our B2C products used by millions, while playing a key role in building our new B2B offering from the ground up. You'll build the TypeScript/NestJS services powering our mobile app and ship full-stack features (backend through frontend) on our web products. Who You Are You're a Product Engineer first, an engineer second. Code is a tool, the goal is user value and business impact. You're backend-heavy and full-stack capable. Your home base is backend (TypeScript/NestJS), and you ship full-stack on the web (React/Next.js/similar) when the work calls for it. Angular & Vue experience is fine! You build for mobile without building the mobile app. You design APIs and services that serve mobile clients beautifully, accounting for offline, network, battery, and app-release realities and are able to partner closely with mobile engineers. You own features end-to-end. From API design and data modelling to web frontend implementation, deployment, and post-launch iteration. You're a proactive collaborator. You ask the right questions, propose solutions, and work effectively with teammates whose depth complements yours, including mobile, design, and product. You thrive in fast-paced, early-stage environments where speed, user feedback, and product-market fit drive decisions. What You Bring You have strong backend depth in TypeScript and NestJS (or comparable Node.js frameworks). You bring solid web frontend skills with React, Next.js, or similar enough to ship polished, production-quality interfaces independently. You have a working knowledge of cloud infrastructure; ideally GCP (Cloud Run, Cloud Functions, Firestore), CI/CD pipelines, and event-driven patterns (BullMQ/Redis or similar). You can ship and operate your own services. You have awareness of mobile constraints. You know what makes an API painful or delightful to consume from a mobile client, even if you don't write the mobile code yourself. You value pragmatism over purism. You make calibrated calls on architecture, scale, and tech debt based on what the product actually needs. How You Work You push back on the why, not just the how. You ask "why are we building this?" before "how do we build this?" You propose simpler alternatives when a 3-day version captures 90% of a 3-week feature's value. You're comfortable telling PMs and designers when something isn't worth building. You treat technical debt as a tool. You ship throwaway prototypes to validate hypotheses with real users. You delete what flops and re-architect what succeeds. You know when "the right way" is a luxury vs. a necessity, and can tell the difference. "Done" to you means users are using it. A merged PR isn't done. A feature is done when it's live, adopted, and the metrics prove it was worth building. You actively monitor analytics post-launch. You're a strategic partner. You sit with PMs and designers to shape what we build and what we don't. You're as comfortable in a product strategy conversation as you are in a code review. You contribute insights from user data, technical constraints, and implementation realities to inform product decisions. Must be based and have the right to work in the United Kingdom.
The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Pipeline Engineering Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production-ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root-cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Data formats: JSON, Avro, Parquet Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant What We Are Looking For We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade-offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long-term expertise within the firm Equal Opportunity Employer Statement Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
23/06/2026
Full time
The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Pipeline Engineering Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production-ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root-cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Data formats: JSON, Avro, Parquet Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant What We Are Looking For We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade-offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long-term expertise within the firm Equal Opportunity Employer Statement Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
Methods Business and Digital Technology Limited
Gloucester, Gloucestershire
Senior Data Engineer Ledbury/Malvern/Gloucester/Cheltenham Area On-site - 5 Days Per Week Up to £85,000 + Benefits Security Clearance: Active SC Clearance Required Methods Business and Digital Technology is a £100M+ IT Services Consultancy delivering complex digital transformation programmes across government and regulated sectors. We are seeking an experienced Senior Data Engineer to join a growing team supporting the delivery of secure, mission-critical data platforms. This role requires an individual who is comfortable operating across hybrid environments, combining on-premises infrastructure with Azure cloud technologies to deliver scalable, secure and high-performing data solutions. The Role: As a Senior Data Engineer, you will design, build and maintain sophisticated data infrastructure supporting analytics, reporting and operational decision-making. You will work across the full data life cycle, developing robust data pipelines, implementing automation and supporting Real Time data streaming capabilities. Responsibilities: Design, develop and maintain scalable data pipelines using Python, Go and Azure Data Factory Develop ETL and ELT processes supporting structured, semi-structured and unstructured data Implement and manage hybrid data solutions across on-premises and Azure environments Build and maintain PostgreSQL database solutions Manage Elasticsearch deployments and optimisation Implement workflow automation using Azure Data Factory Develop and support Real Time event streaming solutions using Kafka and NATS Support security, authentication and access management using technologies such as Keycloak Collaborate with technical teams to deliver resilient, secure and scalable data platforms Skills: Strong commercial Python development experience Experience developing ETL/ELT solutions within enterprise environments Azure Data Factory expertise Experience with Kafka and/or NATS event streaming technologies PostgreSQL administration and development experience Elasticsearch experience Strong understanding of data security, access controls and platform governance Experience operating within hybrid cloud and on-premises environments Active SC Clearance Desirable: Azure certifications Experience with Go development DevOps and automation experience Experience supporting highly secure government or defence environments Willingness and eligibility to progress to DV Clearance Benefits: Up to £85,000 salary Work on nationally significant programmes Join a growing and highly respected consultancy Exposure to modern cloud, data and platform technologies Career development and certification support Opportunity to progress through higher levels of security clearance Please note: Active SC Clearance is mandatory for this position. Candidates must also be willing to undergo DV clearance as part of future project requirements.
23/06/2026
Full time
Senior Data Engineer Ledbury/Malvern/Gloucester/Cheltenham Area On-site - 5 Days Per Week Up to £85,000 + Benefits Security Clearance: Active SC Clearance Required Methods Business and Digital Technology is a £100M+ IT Services Consultancy delivering complex digital transformation programmes across government and regulated sectors. We are seeking an experienced Senior Data Engineer to join a growing team supporting the delivery of secure, mission-critical data platforms. This role requires an individual who is comfortable operating across hybrid environments, combining on-premises infrastructure with Azure cloud technologies to deliver scalable, secure and high-performing data solutions. The Role: As a Senior Data Engineer, you will design, build and maintain sophisticated data infrastructure supporting analytics, reporting and operational decision-making. You will work across the full data life cycle, developing robust data pipelines, implementing automation and supporting Real Time data streaming capabilities. Responsibilities: Design, develop and maintain scalable data pipelines using Python, Go and Azure Data Factory Develop ETL and ELT processes supporting structured, semi-structured and unstructured data Implement and manage hybrid data solutions across on-premises and Azure environments Build and maintain PostgreSQL database solutions Manage Elasticsearch deployments and optimisation Implement workflow automation using Azure Data Factory Develop and support Real Time event streaming solutions using Kafka and NATS Support security, authentication and access management using technologies such as Keycloak Collaborate with technical teams to deliver resilient, secure and scalable data platforms Skills: Strong commercial Python development experience Experience developing ETL/ELT solutions within enterprise environments Azure Data Factory expertise Experience with Kafka and/or NATS event streaming technologies PostgreSQL administration and development experience Elasticsearch experience Strong understanding of data security, access controls and platform governance Experience operating within hybrid cloud and on-premises environments Active SC Clearance Desirable: Azure certifications Experience with Go development DevOps and automation experience Experience supporting highly secure government or defence environments Willingness and eligibility to progress to DV Clearance Benefits: Up to £85,000 salary Work on nationally significant programmes Join a growing and highly respected consultancy Exposure to modern cloud, data and platform technologies Career development and certification support Opportunity to progress through higher levels of security clearance Please note: Active SC Clearance is mandatory for this position. Candidates must also be willing to undergo DV clearance as part of future project requirements.
About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more 5,000 EdTech startups globally Everything we do is dedicated to championing EdTech startups to improve society and fulfil our mission. Find out more EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth - while we take care of the technology that drives it. We are building a high impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. About The Role Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role based access control and create interactive UIs that surface AI generated reports and matching results. In This Role, You'll Build all 5 portals and EdTech Hub frontend from scratch Establish a shared component library and Design System Implement role based access control and authentication integration Develop complex workflow UIs - multi step approval, coaching sessions, diagnosis questionnaires Build AI integration screens - report viewer, expert matching, recording uploads Create monitoring dashboards, cohort tracking, and analytics views About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. 역할 소개 모던 프레임워크를 기반으로 디자인 시스템을 수립하고, 5개 포털과 EdTech Hub 전체 프론트엔드를 구축합니다. 역할별 접근 제어를 구현하고, AI 백엔드가 생성한 리포트와 매칭 결과를 사용자에게 전달하는 인터랙티브 UI를 만듭니다. 이 역할에서 하게 될 일 5개 포털 및 EdTech Hub 프론트엔드를 신규 개발합니다 공통 컴포넌트 라이브러리와 Design System을 구축합니다 역할별 접근 제어와 인증 연동을 구현합니다 다단계 승인, 코칭 세션, 진단 설문 등 복잡한 워크플로우 UI를 개발합니다 AI 리포트 뷰어, Expert 매칭 결과, 녹취 업로드 등 AI 연동 화면을 구현합니다 모니터링 대시보드, 코호트 추적, Analytics 화면을 개발합니다 Senior frontend engineer Significant relevant experience of building large scale services with React / Next.js Hands on TypeScript experiences State management and REST API / GraphQL integration experience Responsive web and cross browser experience Business level English fluency required - daily collaboration with a global team You Might Thrive In This Role If You Design systems purist. You obsess over component consistency and reusability, and build systems hand in hand with designers. Complexity simplifier. You have a talent for turning multi step processes into UIs users navigate without friction. Ecosystem explorer. You actively explore the evolving frontend landscape and experiment with new approaches. Multi persona empath. You understand the context of five distinct user groups and design the right experience for each. Tech Stack Language TypeScript Framework Next.js 14+ (App Router) UI React shadcn/ui Tailwind CSS Radix UI State Zustand TanStack Query Testing Vitest Playwright Deploy Vercel Netlify Tooling Figma GitHub Cursor 시니어 프론트엔드 엔지니어 React / Next.js 기반 대규모 서비스 개발 4년 이상 TypeScript 실무 경험 상태 관리와 REST API / GraphQL 연동 경험 반응형 웹과 크로스 브라우저 대응 경험 비즈니스 수준의 영어 커뮤니케이션 능력 필수 - 글로벌 팀과의 일상적 협업 이런 분이라면 이 역할에서 빛날 겁니다 디자인 시스템에 진심인 분. 컴포넌트의 일관성과 재사용성에 집착하고, 디자이너와 긴밀하게 시스템을 함께 만들어가는 분입니다. 복잡함을 단순하게 만드는 분. 다단계 프로세스를 사용자가 헤매지 않는 UI로 풀어내는 데 재능이 있는 분입니다. 최신 생태계에 열려 있는 분. 프론트엔드 생태계의 변화를 적극 탐구하고, 새로운 접근법을 실험하는 분입니다. 다섯 가지 사용자를 공감하는 분. 서로 다른 사용자 그룹 각각의 컨텍스트를 이해하고, 최적의 경험을 설계하는 분입니다. 기술 스택 Language TypeScript Framework Next.js 14+ (App Router) UI React shadcn/ui Tailwind CSS Radix UI State Zustand TanStack Query Testing Vitest Playwright Deploy Vercel Netlify Tooling Figma GitHub Cursor Employment: Working hours: Full-time 40 hours a week. Location: Remote - South Koreabased Contract: Fixed Term Contract Salary: Competitive, based on experience
23/06/2026
Full time
About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more 5,000 EdTech startups globally Everything we do is dedicated to championing EdTech startups to improve society and fulfil our mission. Find out more EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth - while we take care of the technology that drives it. We are building a high impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. About The Role Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role based access control and create interactive UIs that surface AI generated reports and matching results. In This Role, You'll Build all 5 portals and EdTech Hub frontend from scratch Establish a shared component library and Design System Implement role based access control and authentication integration Develop complex workflow UIs - multi step approval, coaching sessions, diagnosis questionnaires Build AI integration screens - report viewer, expert matching, recording uploads Create monitoring dashboards, cohort tracking, and analytics views About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. 역할 소개 모던 프레임워크를 기반으로 디자인 시스템을 수립하고, 5개 포털과 EdTech Hub 전체 프론트엔드를 구축합니다. 역할별 접근 제어를 구현하고, AI 백엔드가 생성한 리포트와 매칭 결과를 사용자에게 전달하는 인터랙티브 UI를 만듭니다. 이 역할에서 하게 될 일 5개 포털 및 EdTech Hub 프론트엔드를 신규 개발합니다 공통 컴포넌트 라이브러리와 Design System을 구축합니다 역할별 접근 제어와 인증 연동을 구현합니다 다단계 승인, 코칭 세션, 진단 설문 등 복잡한 워크플로우 UI를 개발합니다 AI 리포트 뷰어, Expert 매칭 결과, 녹취 업로드 등 AI 연동 화면을 구현합니다 모니터링 대시보드, 코호트 추적, Analytics 화면을 개발합니다 Senior frontend engineer Significant relevant experience of building large scale services with React / Next.js Hands on TypeScript experiences State management and REST API / GraphQL integration experience Responsive web and cross browser experience Business level English fluency required - daily collaboration with a global team You Might Thrive In This Role If You Design systems purist. You obsess over component consistency and reusability, and build systems hand in hand with designers. Complexity simplifier. You have a talent for turning multi step processes into UIs users navigate without friction. Ecosystem explorer. You actively explore the evolving frontend landscape and experiment with new approaches. Multi persona empath. You understand the context of five distinct user groups and design the right experience for each. Tech Stack Language TypeScript Framework Next.js 14+ (App Router) UI React shadcn/ui Tailwind CSS Radix UI State Zustand TanStack Query Testing Vitest Playwright Deploy Vercel Netlify Tooling Figma GitHub Cursor 시니어 프론트엔드 엔지니어 React / Next.js 기반 대규모 서비스 개발 4년 이상 TypeScript 실무 경험 상태 관리와 REST API / GraphQL 연동 경험 반응형 웹과 크로스 브라우저 대응 경험 비즈니스 수준의 영어 커뮤니케이션 능력 필수 - 글로벌 팀과의 일상적 협업 이런 분이라면 이 역할에서 빛날 겁니다 디자인 시스템에 진심인 분. 컴포넌트의 일관성과 재사용성에 집착하고, 디자이너와 긴밀하게 시스템을 함께 만들어가는 분입니다. 복잡함을 단순하게 만드는 분. 다단계 프로세스를 사용자가 헤매지 않는 UI로 풀어내는 데 재능이 있는 분입니다. 최신 생태계에 열려 있는 분. 프론트엔드 생태계의 변화를 적극 탐구하고, 새로운 접근법을 실험하는 분입니다. 다섯 가지 사용자를 공감하는 분. 서로 다른 사용자 그룹 각각의 컨텍스트를 이해하고, 최적의 경험을 설계하는 분입니다. 기술 스택 Language TypeScript Framework Next.js 14+ (App Router) UI React shadcn/ui Tailwind CSS Radix UI State Zustand TanStack Query Testing Vitest Playwright Deploy Vercel Netlify Tooling Figma GitHub Cursor Employment: Working hours: Full-time 40 hours a week. Location: Remote - South Koreabased Contract: Fixed Term Contract Salary: Competitive, based on experience
