401 to 425 of 688 Data Engineer Jobs in England

We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. Kantar's Profiles division is home to the world's largest audience network. With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud … technology, Kantar's Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability – all at speed and scale. Job Details Location: Reading or London, UK Please note: You must have the right to work in the UK. We are unable to offer visa sponsorship for this role. At Kantar, we help the world's leading brands … make better decisions through data. We're now looking for an experienced Lead Data Engineer to join our team and help us elevate the quality and integrity of our global consumer panels. These panels—more than 50 worldwide—are the foundation of our data-driven insights. Your mission? To build and evolve the data ecosystem, pipelines More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources … including IBM Mainframe systems. Troubleshoot and resolve data-related issues efficiently. Required Skills & Experience:- Proven experience as a Data Engineer with a strong foundation in data analysis. Expert-level proficiency in SAS for data manipulation and reporting. Working knowledge of IBM Mainframe systems and data structures. Advanced programming skills in Hadoop, SQL, Spark, and … Python. Strong problem-solving and analytical skills. Experience with data modeling, warehousing, and performance tuning. Familiarity with Santander UK systems and processes is a strong advantage. Preferred Qualifications:- Bachelors or Masters degree in Computer Science, Data Engineering, or related field. Certifications in SAS, Hadoop, or related technologies. Experience working in financial services or banking domain. Soft Skills:- Excellent More ❯

Job Description: Our tech stack AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open … Essential requirements You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs … writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming More ❯

Data Engineer - Generative AI Projects ?? Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package ?? British Citizens Only | BPSS Clearance Required We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and … work on innovative internal use-cases - from AI assistants to intelligent search and document automation - this is the perfect next step. ?? What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access Bringing … internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Senior Data Platform Engineer Hybrid London (3 days per week) Up to £95,000 + Benefits Are you an experienced Data Engineer ready to take ownership of a cutting-edge cloud data platform? We're partnering with a high-growth fintech company that's transforming how analytics powers decision-making - and they're looking for … a Senior Data Platform Engineer to help design, scale, and optimise their AWS and Snowflake-based infrastructure. Why this role? Join one of the UK's fastest-growing fintechs, where data is at the heart of every decision. Work with a modern stack - AWS, Snowflake, Python, Terraform, CI/CD, and Fivetran . Shape the future of … a scalable, secure, and cost-efficient data platform used across the business. Hybrid working: 3 days a week in the London office , combining collaboration with flexibility. What you'll be doing: Designing, building, and evolving data infrastructure across AWS and Snowflake. Developing tooling and automation to improve analytics efficiency. Onboarding new data sources and ensuring smooth, reliable More ❯

the heart of their organisation by identifying and delivering products and services that are right for their customers. Due to a recent merger, my client is looking for a Data Engineer to join their Data team to design, develop and test quality data engineering solutions and to challenge/improve processes, tools and approaches. There is … a potential for the role to be extended or to be moved into a permanent position in the future. Main responsibilities Migration and integration of data into their new ecosystem Undertake review and assurance activity Provide team members with guidance on design, build and test activity Deliver solutions that meet business needs in a timely manner Take responsibility for … testing of solutions including the analysis of requirements, designs of test cases/scripts, preparing test date and creating/executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary More ❯

NOTE : VISA SPONSORSHIP IS NOT PROVIDED Role : Data Engineer (with GCP) Location: London, UK (2 -3 Days/Week Onsite) Type: Fixed Term Contract (Initial 3 Months with possible extension upto 12 Months) Min experience: 6+ Years Requirements: • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Experienced in using JIRA and Confluence for agile project tracking and documentation. More ❯

NOTE : VISA SPONSORSHIP IS NOT PROVIDED Role : Data Engineer (with GCP) Location: London, UK (2 -3 Days/Week Onsite) Type: Fixed Term Contract (Initial 3 Months with possible extension upto 12 Months) Min experience: 6+ Years Requirements: • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Experienced in using JIRA and Confluence for agile project tracking and documentation. More ❯

NOTE : VISA SPONSORSHIP IS NOT PROVIDED Role : Data Engineer (with GCP) Location: London, UK (2 -3 Days/Week Onsite) Type: Fixed Term Contract (Initial 3 Months with possible extension upto 12 Months) Min experience: 6+ Years Requirements: • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Experienced in using JIRA and Confluence for agile project tracking and documentation. More ❯

NOTE : VISA SPONSORSHIP IS NOT PROVIDED Role : Data Engineer (with GCP) Location: London, UK (2 -3 Days/Week Onsite) Type: Fixed Term Contract (Initial 3 Months with possible extension upto 12 Months) Min experience: 6+ Years Requirements: • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Experienced in using JIRA and Confluence for agile project tracking and documentation. More ❯

NOTE : VISA SPONSORSHIP IS NOT PROVIDED Role : Data Engineer (with GCP) Location: London, UK (2 -3 Days/Week Onsite) Type: Fixed Term Contract (Initial 3 Months with possible extension upto 12 Months) Min experience: 6+ Years Requirements: • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Experienced in using JIRA and Confluence for agile project tracking and documentation. More ❯

Role: Data Engineer (Python focused with trading background) Location: Canary Wharf, UK (Hybrid) (3 days onsite & 2 days remote) Role Type: 6 Months Contract with possibility of extensions Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow, Energy Trading experience Job Description:- Data Engineer (Python enterprise developer): 6+ years of More ❯

the impact that we make together in our marketplace and communities. The Role As part of the Analytics Engineering team, you'll help design, build, and scale the core data and analytics platforms that power decision-making across Deliveroo. You'll work on the systems and tooling that form the foundation of our data ecosystem — ensuring reliability, performance … and a seamless experience for the analytics engineers, data scientists, and business teams who depend on them. As a Data Engineer, your focus will be on evolving our core data platform capabilities — from data modelling frameworks and batch/real-time data pipelines to governance solutions. You'll play a key role in automating … optimising, and extending these systems to make data more discoverable, trustworthy, and actionable across the organisation. This is a hands-on engineering role where you'll combine deep technical expertise with a product mindset, developing solutions that empower others to deliver insights and drive growth. You'll also contribute across the wider data stack, from building infrastructure and More ❯

Our client are building a custom AI platform from the ground up - no off-the-shelf solutions, no shortcuts. To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. What You'll Be Doing Architecting and developing scalable ETL … pipelines using Azure Data Factory, Synapse, and related tools. Integrating structured (SQL, relational) and unstructured (NoSQL, blob storage, document stores) data sources. Enabling real-time and batch data flows to support AI-driven applications. Collaborating with AI engineers to ensure data readiness for model training and inference. Driving best practices in data governance, security, and … performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Based in More ❯

Our client are building a custom AI platform from the ground up - no off-the-shelf solutions, no shortcuts. To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. What You'll Be Doing Architecting and developing scalable ETL … pipelines using Azure Data Factory, Synapse, and related tools. Integrating structured (SQL, relational) and unstructured (NoSQL, blob storage, document stores) data sources. Enabling real-time and batch data flows to support AI-driven applications. Collaborating with AI engineers to ensure data readiness for model training and inference. Driving best practices in data governance, security, and … performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Based in More ❯