Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. \* Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. \* Work within clients existing security framework to establish compliant connectivity to operational data sources. \* Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. \* Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery \* Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. \* Contribute to technical documentation and ensure pipelines are maintainable and transferable. \* Stay current on Databricks and Azure platform developments relevant to the stack. \* Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience \* Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. \* Professional certifications in Azure, Databricks preferred \* Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. \* 4-7 years of hands-on data engineering experience in a cloud environment. \* Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). \* Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. \* Experience with REST API ingestion and integration of business systems (ERP, finance tools). \* Experience in a contractor or project-based delivery model preferred. \* Exposure to OT/SCADA environments or energy sector data. \* Exposure to MLOps workflows or collaboration with data science teams