Data Engineer

We are working with a leading global recruitment consultancy specialising in renewable energy, connecting top talent with innovative projects that are shaping the future of sustainable power. They are seeking a highly skilled individual to contribute to a major offshore wind project that will significantly impact the energy landscape. The Role • Design and implement scalable data ingestion pipelines from various source systems, including operational and internal business data sources. • Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. • 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. • Support ML/Data Scientists in preparing clean, structured datasets for anomaly detection and asset performance modelling. • Contribute to technical documentation and ensure pipelines are maintainable and transferable. What You'll Need • Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. • 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). • Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. What's On Offer • Join a critical project in a rapidly growing and impactful sector. • Opportunity to work with cutting-edge data technologies and cloud platforms. • Contribute to sustainable energy solutions and make a real difference. • Collaborative environment with opportunities for professional growth. Apply via Haystack today!