Salary: £50,000 - 55,000 per year Requirements: Some experience in a data engineering, BI development, or similar data-focused role Strong SQL skills and understanding of relational databases Experience building or supporting data pipelines or ETL processes Exposure to Microsoft data technologies (e.g. Azure Data Factory, SQL Server, Synapse, or similar) Understanding of basic data modelling concepts (e.g. star schema, dimensional modelling) Familiarity with cloud data concepts (data lakes, warehouses, or similar environments) Ability to work collaboratively in a team environment under senior technical guidance Strong analytical and problem-solving skills with attention to detail Exposure to Power BI or other BI tools (nice to have) Basic experience with Python or scripting for data processing (nice to have) Awareness of medallion architecture (bronze/silver/gold) (nice to have) Experience working with APIs or multiple data source types (nice to have) Understanding of data quality or governance principles (nice to have) Responsibilities: Build and maintain ETL/ELT data pipelines using Microsoft data technologies Support the development of a structured data warehouse, contributing to bronze, silver, and gold layer models Work closely with the Senior Data Engineer to deliver scalable and well-governed data solutions Develop and optimise SQL-based transformations and data workflows Integrate data from multiple sources including internal systems, APIs, and external datasets Support implementation of data quality checks, validation rules, and monitoring processes Assist in delivering curated datasets used for Power BI and reporting solutions Contribute to documentation, testing, and code reviews Collaborate with analytics and business teams to understand data requirements Technologies: Azure Cloud Data Warehouse ETL Support Power BI Python SQL More: We are looking for a Data Engineer to join our growing analytics and data team supporting a major transformation programme. This hands-on engineering role involves working closely with a Senior Data Engineer to design, build, and maintain scalable data pipelines and data warehouse solutions across a modern Microsoft-based data platform. Our small, collaborative data team offers strong technical leadership and a hybrid working environment in West Yorkshire, where we work 2-3 days per week in the office. We maintain close working relationships with analytics stakeholders and provide clear opportunities for progression into more senior engineering roles. last updated 18 week of 2026