201 to 225 of 807 Data Engineering Jobs in England

Overview Senior Consultant, AI & Data, Speciality Insurance, Lloyds London Market, FS Location: London Date: 23 Oct 2025 Requisition ID: The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently seeking outstanding Data Modelers (Senior Consultants) with strong experience in AI … and Data solution design and implementation within the Lloyds & London Market Insurance domain to join our team and contribute to our ongoing growth and success on a global scale. Joining EY's AI & Data team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and … to your career. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Your key responsibilities Work as part of a delivery team on complex Data Transformation programs, primarily focusing on data modelling, with additional roles likely to include business More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, ML pipelines, MLOps, Model deployment Salary: £60-75k + shares *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help … build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s … ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. What you’ll do Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. Use SQL and Python to build data workflows, automation scripts More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, ML pipelines, MLOps, Model deployment Salary: £60-75k + shares *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help … build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s … ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. What you’ll do Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. Use SQL and Python to build data workflows, automation scripts More ❯

Data Engineer £700/day outside IR35 3-month initial contract Remote working - occasional site visits Working with a leading financial services client who are looking for a Data Engineering Consultant. Looking for someone who can act independently and deliver complex data products - work with stakeholders to understand requirements, engineer and deliver products. Data Engineering Consultant, key responsibilities: Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This being … said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise More ❯

Job Title: Staff Data Engineer Location: London, Hybrid Salary: c.£140,000 + bonus + share options Why Apply? This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and … people. You'll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions. Responsibilities: Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence. Define and execute the data engineering roadmap aligned with business … goals. Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing. Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams. Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability. Write and review production level code, designing scalable data More ❯

An opportunity has arisen for a Senior Data Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Data Engineer , you will be responsible for developing, automating, and optimising scalable data pipelines using modern cloud technologies. This is a … role with hybrid/remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure … using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams to align data solutions with wider business needs. Supporting the continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data More ❯

An opportunity has arisen for a Senior Data Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Data Engineer , you will be responsible for developing, automating, and optimising scalable data pipelines using modern cloud technologies. This is a … role with hybrid/remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure … using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams to align data solutions with wider business needs. Supporting the continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data More ❯

An opportunity has arisen for a Senior Data Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Data Engineer , you will be responsible for developing, automating, and optimising scalable data pipelines using modern cloud technologies. This is a … role with hybrid/remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure … using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams to align data solutions with wider business needs. Supporting the continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team.The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll work in a team that has access to end-to-end business data whilst … also working with new technologies and data sources. As part of NDA, you will collaborate with Business Partners, Data Scientists and Report Developers to deliver data driven solutions to the business. We are looking for someone to come into supplement the existing NDA team in delivering significant data solutions using industry level best practices.Reporting to the … Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a hardworking individual More ❯

Data Engineer/BI Developer – Asset Management Salary: £85,000 Location: London - Hybrid Type: Permanent An exciting opportunity for a hands-on Data Engineer/BI Developer to join a leading Asset Management firm. This role sits at the intersection of data, analytics, and investment technology, enabling portfolio managers and investment teams to make data-driven … decisions that deliver measurable client and business outcomes. You’ll design, build, and maintain data pipelines, analytics models, and Power BI dashboards, integrating data from systems such as Snowflake, SQL databases, Bloomberg, and SimCorp. Sitting directly with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance … quality, and automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations teams. Create and optimise data models for analytics and decision-making. Ensure data accuracy, lineage, and More ❯

Data Engineer/BI Developer – Asset Management Salary: £85,000 Location: London - Hybrid Type: Permanent An exciting opportunity for a hands-on Data Engineer/BI Developer to join a leading Asset Management firm. This role sits at the intersection of data, analytics, and investment technology, enabling portfolio managers and investment teams to make data-driven … decisions that deliver measurable client and business outcomes. You’ll design, build, and maintain data pipelines, analytics models, and Power BI dashboards, integrating data from systems such as Snowflake, SQL databases, Bloomberg, and SimCorp. Sitting directly with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance … quality, and automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations teams. Create and optimise data models for analytics and decision-making. Ensure data accuracy, lineage, and More ❯

At this role level, you will: implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems document source-to-target mappings re-engineer manual data flows to enable scaling and repeatable use support the build of data streaming systems write ETL (extract, transform, load) scripts and code to ensure the ETL … process performs optimally develop business intelligence reports that can be reused build accessible data for analysis Skills needed for this role level Communicating between the technical and non-technical. You can show an awareness of the need to translate technical concepts into non-technical language. You can understand what communication is required with internal and external stakeholders. (Skill level … awareness) Data analysis and synthesis. You can undertake data profiling and source system analysis. You can present clear insights to colleagues to support the end use of the data. (Skill level: working) Data development process. You can design, build and test data products based on feeds from multiple systems, using a range of different storage technologies More ❯

At this role level, you will: implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems document source-to-target mappings re-engineer manual data flows to enable scaling and repeatable use support the build of data streaming systems write ETL (extract, transform, load) scripts and code to ensure the ETL … process performs optimally develop business intelligence reports that can be reused build accessible data for analysis Skills needed for this role level Communicating between the technical and non-technical. You can show an awareness of the need to translate technical concepts into non-technical language. You can understand what communication is required with internal and external stakeholders. (Skill level … awareness) Data analysis and synthesis. You can undertake data profiling and source system analysis. You can present clear insights to colleagues to support the end use of the data. (Skill level: working) Data development process. You can design, build and test data products based on feeds from multiple systems, using a range of different storage technologies More ❯

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost … maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and … implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines More ❯

Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯

Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯

Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning data engineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data More ❯

Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning data engineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data More ❯

We are looking for a Lead Data Architect to provide strategic leadership and technical expertise in the design and development of data solutions. This role involves setting technical standards, evaluating new technologies, and shaping our approach to data. You will lead a team of Data Architects, Engineers, and Analysts, defining data architecture frameworks and ensuring the … development of scalable, robust, and cost-effective solutions. The ideal candidate will have a passion for data, be technology-agnostic, and possess excellent client-facing skills. Lead Data Architect Annual Salary: circa £85,000 Location: Flexible, hybrid working with some client travel Day to day of the role: Shape the approach to the design and development of data solutions using cloud technologies. Set standards for solutions documentation and data governance. Lead the promotion of Agile delivery methods. Manage and mentor mid-level to senior team members. Stay updated with the latest technologies and methodologies in cloud and data. Maintain relevant certifications and build strong client relationships. Promote best practices and inspire continual improvement within the team. More ❯

leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest … customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible … for creating insightful reports and dashboards to support data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning More ❯

Data Engineer/Data Analyst Hybrid Reading (12 days per month in the office) Competitive Salary + Benefits About the Role We are looking for a Data Engineer/Analyst to join our growing data team. This is a fantastic opportunity to work on cutting-edge Azure data solutions, helping to shape and deliver high … quality, scalable data platforms that drive real business insights. If you are passionate about data engineering, SQL, and Azure technologies, and want to make a genuine impact in a collaborative environment, this could be the role for you. What Youll Be Doing Designing, building, and maintaining ETL pipelines using Azure Data Factory, SSIS, and SQL Server … Developing and optimising stored procedures and queries for data transformation and integration Building and maintaining data warehouse solutions and dimensional data models Supporting data integration projects and ensuring data quality, accuracy, and consistency Delivering insights through Power BI dashboards and reports Using Python and PowerShell for automation and data manipulation Collaborating with business stakeholders More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

Join our team as a Data Architect and play a pivotal role in shaping our data landscape. You will be designing, governing, and evolving the data architecture to enable trusted, timely, and accessible data across the organisation. This role is an individual contributor position. Data Architect Location: North East based, Sunderland Job Type: Full-time … Salary: £70,000 - £80,000 Day-to-day of the role: Define and maintain the data architecture vision and roadmap, ensuring alignment with organisational and group strategy. Design and implement modern, scalable data architectures including Lakehouse, event-driven, and real-time/streaming solutions to support analytics, reporting, and machine learning. Develop and maintain enterprise data models … conceptual, logical, physical), promoting data-as-a-product principles and ensuring consistency across domains. Collaborate with Data Engineering, DBAs, Data Science, and BI teams to deliver high-quality, reusable, and governed data solutions. Provide hands-on technical guidance on data design, modelling, and integration, ensuring alignment with architectural standards. Drive the adoption of tools More ❯