Data Engineer - 196331
This is a hands-on engineering role focused on delivering reliable, well-structured data that supports reporting, analytics, and business decision-making. Key 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 Required Skills & Experience • 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 Nice to Have • Exposure to Power BI or other BI tools
• Basic experience with Python or scripting for data processing
• Awareness of medallion architecture (bronze/silver/gold)
• Experience working with APIs or multiple data source types
• Understanding of data quality or governance principles About You
• Enthusiastic, curious, and keen to grow as a data engineer
• Comfortable working under the guidance of a Senior Data Engineer while developing independence
• Detail-focused with a strong commitment to data accuracy and reliability
• Interested in building modern, scalable data solutions in a cloud environment Team & Working Environment
• Small, collaborative data team with strong technical leadership
• Hybrid working (West Yorkshire, 2–3 days per week in office)
• Close working relationship with Senior Data Engineer and analytics stakeholders
• Clear opportunity for progression into a more senior engineering role over time
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