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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Royal London - **Location:** Alderley Edge, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Database, Continuous Integration, Information Engineering, Data Visualization, Data Warehousing, Software Design Patterns, Github, Revision Control Systems, Python (Programming Language), Machine Learning, Microsoft SQL Server, Power BI, Software Engineering, SQL Databases, SQL Server Integration Services, Tableau (Software), Transact-SQL, Azure Data Factory, Snowflake, Data Lakes, Pyspark, Data Analytics, Data Management, Tools for Reporting, Data Pipelines, Databricks, Programming Languages - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815453758-data-engineer ## About the Role * Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses. * Experience of programming languages: SQL, Python & pySpark etc. or equivalents. * Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. * Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric. * A proven track record in working in cross-functional projects to a successful conclusion. * Experience of managing stakeholders. * A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R. * Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS. * Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. ## Description We have a fantastic opportunity for a Data Engineer to join Royal London's Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group's capability in these areas and our ambition to become Data Led . More about the role * Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives. * Source, evaluate, interpret, and manage multiple disparate data sources. * Understand, own, and manage the team's data - working with business, technology and external partners. * Design and develop data pipelines, from both the on-premises and cloud platforms. * Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology. * Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the data science and data visualisation team. * Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field. * Maintain knowledge of data related technologies and practices. * Help to ensure that robust software engineering practices are adhered to by the team. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Software Engineer Salary in The UK](https://www.wearedevelopers.com/magazine/231-software-engineer-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)