We’re looking for a highly skilled Data Engineer to join a growing data team supporting a large-scale modern data platform project. Working 3 days a week onsite on the outskirts of Nottingham, you’ll be a key contributor in evolving the organisation’s data capability, focusing on best‑practice engineering, clean architecture, and high‑value BI delivery. Key Responsibilities Design, build and optimise ETL/ELT pipelines using Azure Data Factory and Databricks. Develop scalable data models and transformations using SQL and Python. Work hands‑on with Databricks (Lakehouse, Delta tables, notebooks, workflows). Deliver high-quality dashboards and reporting solutions using Power BI. Implement best practices for data quality, governance, lineage and automation. Collaborate with cross‑functional teams including analysts, product owners and business stakeholders. Support performance tuning, cost optimisation and reliability improvements across the data estate. Document pipelines, models and processes to ensure smooth knowledge transfer.Technical Skills Required Databricks – notebooks, Delta Lake, Spark (PySpark desirable) Power BI – data modelling, DAX, dashboard/report development SQL – advanced querying, performance optimisation, data modelling Python – scripting, transformation logic, automation Azure Data Factory – pipelines, triggers, mapping data flows Understanding of data warehousing / lakehouse principles Experience working in cloud-based data ecosystems (Azure) Strong appreciation of data quality, governance and best practicesIf this is a role that suits your skillset, can work onsite 3 days per week and immediately available then please apply for the job advert directly or reach out to myself at (url removed)