Databricks Data Engineer / Developer (6‑month contract)

About the role

Our consulting client is modernising its enterprise data landscape and building a next‑generation data platform on Databricks. The role will design, develop and maintain scalable data pipelines that support reporting, analytics and AI initiatives across the organisation.

Key responsibilities

• Design, develop and maintain data pipelines within the Enterprise Data Platform (EDP).
• Build and optimise ETL/ELT processes for data ingestion, transformation and integration.
• Apply an Agentic development approach to ensure code meets standards.
• Develop reusable data solutions using Databricks and cloud‑based technologies.
• Support migration from HANA to a modern data platform.
• Collaborate with Data Architects to implement scalable data models.
• Ensure data quality, integrity, consistency and performance.
• Troubleshoot data‑related issues and performance bottlenecks.
• Participate in code reviews, testing, deployment and release activities.
• Work with business and analytics teams to translate requirements into data solutions.
• Contribute to best‑practice documentation and continuous improvement.

Required profile

• Minimum 3 + years hands‑on Databricks development experience.
• 4 + years overall data engineering, ETL or data integration experience.
• Proven ability to build ETL/ELT pipelines for large, complex datasets.
• Experience with cloud‑based data platforms and migration projects.
• Solid understanding of data warehousing, data lake and lakehouse concepts.
• Experience working in Agile delivery environments.
• Strong problem‑solving skills; familiarity with Agentic or AI‑assisted coding is a plus.

Required skills

• Databricks
• ETL/ELT pipeline development
• Data integration
• Cloud platforms (generic)
• Data warehousing
• Data lake / lakehouse concepts
• Agile methodologies
• Agentic frameworks / AI‑assisted coding (optional)