Data Engineer – Databricks

About the role

RES is seeking a skilled Data Engineer to join its Asset Performance Management software team within Digital Solutions. You will design, build, and optimise scalable data pipelines on the Databricks platform, enabling data‑driven analytics and machine‑learning insights for renewable energy assets.

Key responsibilities

• Design, develop and maintain robust data pipelines using Delta Live Tables (DLT) on Databricks.
• Collaborate with software engineers, data scientists and platform engineers to gather requirements and deliver high‑quality solutions.
• Implement ETL/ELT processes to ingest, transform and store structured and unstructured data.
• Optimise performance and cost‑efficiency of data workflows on Databricks.
• Ensure data quality, integrity and governance through validation, monitoring and documentation.
• Develop reusable components and frameworks to accelerate engineering efforts.
• Support CI/CD practices and automation for pipeline deployment.
• Stay up‑to‑date with Databricks features and advocate best practices.

Required profile

• Solid understanding of data modelling, warehousing concepts and distributed computing.
• Familiarity with Delta Lake, Unity Catalog and data‑governance frameworks (e.g., GDPR, HIPAA).
• Proven experience as a Data Engineer building production‑grade pipelines.

Required skills

• Python programming
• SQL
• Git version control
• CI/CD tools
• Databricks platform (DLT, Delta Lake, Unity Catalog)
• Data modelling and warehousing
• Distributed computing concepts

What we offer

• Competitive remuneration package with pension scheme.
• Flexible working arrangements.
• Private healthcare and discounted green travel.
• 25 days holiday plus buy/sell options and enhanced family leave.
• Four paid volunteering days per year.
• Opportunities for personal and professional growth in a global renewable‑energy leader.