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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** EG On The Move - **Location:** Blackburn, UK - **Experience:** Experienced - **Salary:** £50,000.0 - £55,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Application Integration Architecture, Microsoft Azure, Code Review, Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Python (Programming Language), Metadata, DataOps, Azure Data Lake, SQL Databases, Enterprise Data Management, Data Logging, Azure Data Factory, System Availability, Apache Spark, Git, Data Lakes, Pyspark, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cc50aa5b7d952d30 ## About the Role * 4+ years' professional Data Engineering experience within cloud or enterprise environments, with a strong engineering and problem-solving mindset. * Strong hands-on experience with Azure Databricks, Apache Spark and PySpark, with a strong understanding of Delta Lake, Lakehouse and Medallion architecture principles. * Proven experience building and maintaining production-grade ETL/ELT pipelines, integrating APIs, databases and file-based data sources. * Experience with Git, Azure DevOps and CI/CD practices, alongside an understanding of Data Quality, monitoring, testing and dimensional data modelling. * Strong ability to take ownership of technical solutions and drive problems through resolution, with a collaborative approach to working across engineering and architecture teams. ## Description As a Data Engineer, you'll play a key role in building and evolving EG On the Move's Databricks-based Enterprise Data Platform, helping to shape a modern data environment built around Data Engineering and Lakehouse architecture. Working closely with senior engineers and architects, you'll contribute to the development of scalable data platform capabilities, help establish and embed engineering standards, and play an important role in the migration of existing workloads from Azure Synapse to Databricks. This is a hands-on engineering role, ideal for someone with strong Data Engineering experience who enjoys designing, developing and supporting modern data solutions. You'll have the opportunity to make a real impact while contributing to the continued development and maturity of EG On the Move's wider Enterprise Data Platform. What you'll do: * Build and develop EG On The Move's Databricks-based data platform, following Lakehouse and Medallion architecture principles. * Develop reusable Databricks frameworks and engineering patterns using Python, PySpark, SQL and Delta Lake, including metadata-driven ingestion and transformation patterns for APIs, databases, files and other enterprise data sources. * Design, build and maintain scalable ingestion and transformation pipelines using Databricks, Azure Data Factory and Azure Data Lake. * Lead the technical implementation of migrating existing Synapse data workloads to Databricks, refactoring legacy workloads into scalable and reusable solutions rather than relying on lift-and-shift approaches. * Implement and maintain Unity Catalog, data access patterns, compute, jobs and workspace standards, supporting secure and consistent platform practices. * Implement CI/CD and controlled deployments for Databricks workloads across Development, UAT and Production environments using Git, Azure DevOps and Databricks Asset Bundles. * Support platform reliability and production operations, including logging, monitoring, Data Quality, error handling, testing, troubleshooting and peer code reviews. * Work closely with Data Engineers, Platform Engineers, BI teams, Software Engineers and Data Architects, while supporting and mentoring engineers in Databricks and Data Engineering best practices. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)