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Data Engineer at a venture-backed healthcare AI startup in London, owning the production data infrastructure behind a healthcare intelligence platform. Day to day involves building ETL/ELT pipelines with Python and SQL, using LLMs and AI APIs for data extraction and validation, and taking projects from concept to production.
An experienced Data Engineer builds and operates enterprise-scale data pipelines, handling ingestion, enrichment, indexing and storage to make organisational knowledge structured, searchable and AI-ready. The role supports enterprise search, knowledge graphs and AI systems, collaborating with data scientists and backend engineers in a distributed cloud environment.
Data Engineer at LexisNexis Risk Solutions building and maintaining data infrastructure for marketing analytics and customer insights. Day to day you work across the CDP, journey orchestration, and analytics platforms to deliver trusted, scalable, well-structured data for reporting, while upholding GDPR/PII data governance standards.
Leads delivery and evolution of Liverpool FC's enterprise data platform and warehouse, building AWS-based data pipelines, ETL, data models and APIs using S3, Glue, Redshift, Lambda, Fargate, SQL and Python, while providing technical oversight and mentorship to offshore development teams from the club's Chapel Street office.
Quantum Mortgages, a specialist UK Buy to Let mortgage lender, is hiring a Junior or Senior Data Engineer in Bletchley (hybrid, 3 days at home) to design, build, and optimise data pipelines, ETL/ELT, and warehousing on Microsoft Fabric, supporting BI reporting (Power BI), data governance, GDPR compliance, and cloud migrations.
Hands-on Data Engineer in Norwich building and maintaining reliable data pipelines and centralised analytics: integrating data from multiple business systems, resolving data quality issues, and writing SQL and Python for ETL/ELT. Ideally experienced with Azure data services, Databricks/Snowflake/Fabric, dbt, and BI tools like Power BI.
Senior Data Engineer at Jacobs building and maintaining cloud data platforms for government, defence and regulated-sector clients in the UK. Day to day involves designing cloud pipelines and data solutions using AWS, Azure, PySpark and SQL, within a flexible hybrid working model.
Senior Data Engineer joining a world-leading energy trading company's Data Flow project for its Front Office in London: building data pipelines, a governed data lake and trading analytics, primarily on Azure (Data Factory, Databricks, Synapse, Stream Analytics) with AWS tooling and CI/CD via GitHub Actions and Azure DevOps.
A Data Engineer on the Data Analytics team at a cyber security training provider, designing and maintaining data pipelines and keeping the central data platform reliable and high quality. Day to day involves building scalable pipelines, testing and validating data, and collaborating with cross-functional teams.
Arup is hiring a Geospatial Data Engineer to design and maintain reliable systems for managing spatial data at project scale, delivering robust workflows and AI-enabled analytics so consultants, designers, and engineers can trust, discover, and use geospatial data across infrastructure, energy, cities, and environmental projects.
Methods in Worcester is seeking a Data Engineer to design and manage data pipelines and workflows. The ideal candidate should possess strong Python skills, experience with Azure Data Factory, and a solid understanding…
This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from KDR Talent…
Lead Data Engineer (first senior data hire) at an AI start-up in London building an intelligent automation platform for B2C services. Day to day: design batch and real-time data pipelines, vector search and ML data infrastructure using Python, PostgreSQL/NoSQL, Kafka, Spark, and Airflow, while mentoring engineers and shaping data architecture.
Data Engineer at Warwickshire County Council who designs and maintains data pipelines, integrations, and analytical platforms to support council services and decision-making. Core stack includes SQL, Python, ETL pipelines, Power BI data modeling, cloud services, and GIS, working in a multidisciplinary agile team.
Hands-on Lead Data Engineer for a specialist data & geospatial SME delivering National Security programmes: shaping modern data platforms and pipelines with Python, AWS, ETL/ELT, CI/CD and IaC, owning technical direction and working with senior (C-level) customer stakeholders. Active eDV clearance required; hybrid/secure-site working.
Data Engineer who designs, builds and maintains scalable data pipelines and central data platforms using SQL, Python and modern tooling like Databricks or Azure. Day to day involves optimising data flows from multiple sources and ensuring data quality through testing, monitoring and governance.
Lead data engineer at an early-stage AI product company in London: you own the data architecture and technical direction, building batch and real-time pipelines plus vector search and ML data infrastructure. Core stack includes Spark, Airflow, Kafka, and Elasticsearch/OpenSearch.
Data engineer at fashion e-commerce brand Oh Polly, building pipelines and shaping the Snowflake data model for reporting and analytics. Works with Python services, AWS Lambda and Terraform, explores AI tooling, and partners with Operations, Merchandising and Trading on data quality and scalable transformations.
Amber Labs is hiring a Senior Data Engineer to design, build, and operate cloud-native data platforms powering mission-critical analytics in a UK Government environment. The role involves working in Agile delivery teams with architects, product teams, and stakeholders, plus mentoring and shaping engineering best practices.
Hybrid (1 day onsite) Data Engineer role in West London focused on migrating to and modernising data estates on Microsoft Fabric. Day to day you design, build and optimise data pipelines, models and queries, working with analysts and tech teams to deliver reliable data for reporting.
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