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Senior Data Engineering Lead – Pipelines & Platform
Lead data engineering teams at FanDuel in Edinburgh, building scalable data pipelines that power BI, analytics, fraud detection, and reporting platforms.
Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II
Builds and optimizes data pipelines, cloud-based data solutions, and data models for a fintech firm’s asset/wealth management platform using Snowflake, Azure, Python, and dbt.
Data Engineer - MI Reporting & Analytics Platform
The Department for Work and Pensions is seeking a Data Engineer to develop MI products and services by building scalable data pipelines across cloud and on-prem environments. The role involves collaborating with stakeholders and maintaining technical documentation.
Senior Data Engineer — Databricks, AI Tools, Equity
The Senior Software Engineer will architect and deliver production-grade data pipelines to support analytics for finance and payment business units. The role involves end-to-end data modeling, pipeline design, and ensuring robust system observability.
Data Engineer for MI Analytics & Reporting Platforms
The Data Engineer will build and maintain scalable data pipelines for management information products, working across both cloud and legacy on-premises environments within the UK government.
Senior Data Engineer: Databricks, Pipelines & AI Tools
The Senior Data Engineer will build and maintain a centralized data platform using Databricks, Delta Live Tables, and Unity Catalog. The role involves designing end-to-end data pipelines, implementing data contracts, and mentoring team members.
Data Engineer – Real‑Time Pipelines & AI (Hybrid)
The Data Engineer will build and maintain scalable real-time data pipelines using Python, SQL, PySpark, Databricks, Kafka, and AWS. The role involves collaborating with data scientists and software engineers to support AI/ML initiatives and manage large-scale sensor data processing.
Palantir Foundry Data Engineer – Hybrid, Active DV Cleared
This role involves designing scalable data pipelines and transforming complex government data into actionable insights using Palantir Foundry and Gotham. The position requires an active DV clearance and involves working within multi-disciplinary Agile teams.
Remote Databricks Data Engineer - 6 Month Contract
This is a six-month contract role for a Databricks Data Engineer to support a data platform, build pipelines, and collaborate on data quality and platform enhancements within an agile team.
Data Engineer for MI Analytics & Scalable Pipelines
Data Engineer building scalable data pipelines and supporting MI analytics, reporting, and data visualisations for the DWP, working across modern cloud and legacy on-prem environments while maintaining documentation in Confluence.
Staff Data Platform Engineer — Real-Time Pipelines & Infra
Designs and scales real-time and batch data pipelines for geospatial datasets, owning cloud infrastructure and driving reliability across the data platform.
AWS Data Engineer - Hybrid, Growth & Impact
The Data Engineer will design and build production data pipelines on AWS to support scalable data movement, warehousing, and analytics for client projects. The role involves using Java, Python, Scala, Spark, and SQL within an agile, hybrid-working environment.
Data Engineer - Kids Planet Central Support
Data Engineer building data pipelines, maintaining a data warehouse, and improving APIs for a large UK nursery group using Python, SQL, and cloud platforms.
Senior Data Engineer: Real-Time, Cloud Pipelines (Azure)
Senior Data Engineer designing and maintaining large-scale real-time data pipelines and cloud platforms on Azure (ADF, Databricks, Synapse) using Python/SQL, with a focus on data governance in a financial services context.
Lead Data Platform Engineer – AWS, ETL & Pipelines
Lead Data Engineer building and evolving Liverpool FC's data platform and warehouse, designing scalable AWS-based ETL pipelines and data models while guiding offshore dev teams.
Lead Data Engineer — Pipelines, AI & Cloud (Hybrid)
Designs and maintains scalable data pipelines using SQL, Python, Databricks, and Snowflake to enable business insights, while leading a team and ensuring data governance and security in cloud-native environments.