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Data Engineer in Norwich working on customer-facing data solutions, leading proof-of-concept projects, using AWS and Python to work with large-scale insurance datasets.
Data Engineer Manchester £45,000 About the Company A fast‑growing, family‑oriented organisation operating across multiple locations in the UK with a strong focus on people, development and long‑term career growth are…
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC – Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any…
Lead Data Engineer in Manchester designing and maintaining scalable data infrastructure using Python, Spark, and cloud technologies (AWS, Kubernetes, Docker) on mission-critical defence programmes requiring the highest UK government security clearance.
Data Engineer maintaining and modernising data pipelines, databases and integrations for Warwickshire County Council, using SQL, Python, Microsoft Power BI, Git and GIS tools.
Senior Data Engineer at DWP Digital building secure, scalable data pipelines and reporting solutions using Oracle Fusion Data Intelligence, OTBI, and cloud technologies, with hybrid working across UK hubs.
Scientific Data Engineer building and maintaining data pipelines for R&D at an enzymatic recycling company, using Python and containerised deployments to turn instrument data into insights.
Data Engineer designing and building AWS cloud data pipelines, data warehouses, and data lakes using services like EMR, Glue, RedShift and languages such as Python, Java, Scala, Spark, and SQL for a consulting firm serving multiple sectors.
Senior Data Engineer designing and scaling a financial data platform, defining data models, and owning AI-ready infrastructure while partnering with cross-functional teams to ensure accurate, scalable metrics. Core technology: BigQuery.
Senior Data Engineer responsible for designing, developing, and maintaining data warehouses, data lakes, and data marts, implementing ETL/ELT processes, and ensuring data quality using SQL and Python in Riyadh.
Senior Data Engineer building production-grade data pipelines in Palantir Foundry using Python/SQL, modelling data in the ontology layer, and ensuring data quality to support downstream AI applications for a tech consultancy client.
Data Engineer responsible for designing, developing, and maintaining data infrastructure, ETL/ELT processes, and data models using SQL, Python, and tools like Informatica and Talend.
Design and build production-grade data pipelines using Palantir Foundry to support downstream AI applications and data lineage visibility.
Senior Data Engineer at SiFi will design and own the data platform, modeling standards, and AI-ready infrastructure for a corporate expense management platform. The role involves working with BigQuery, dbt/SQLMesh, and building financial data infrastructure with a focus on data modeling, warehouse architecture, reliability, and governance.
Hands-on leadership role managing a data engineering and data science team at a healthcare company, focused on building data pipelines, data warehousing with Snowflake, and analytics via Looker using SQL and Python.
Data Engineering Manager for the Claims Data Management team at Prima, an insurtech company. Responsible for delivering scalable, impactful data solutions that shape the future of motor insurance.
Design and optimize Snowflake data environments and build pipelines powering CRM, personalization, and audience activation platforms like Braze and CDPs in a remote-first international setting.
A Data Engineer joining the pricing and underwriting domain to bridge machine learning/data science and engineering, building and maintaining complex data products and pipelines.
Build and maintain scalable data pipelines and infrastructure to support Toss’s fintech products and analytics needs.
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
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