We're seeking an experienced Databricks Engineer to help design and deliver strategic data solutions across enterprise platforms. This role will support both proof-of-concept work and the development of a Strategic Operational Data Store (ODS), with a focus on performance, scalability, and governance. This role is 3 days a week onsite in either Newcastle, London or Edinburgh and falls outside IR35.

Key Responsibilities

• Lead Databricks platform evaluation, including performance benchmarking and stress testing
• Collaborate with Databricks Professional Services for architectural assurance
• Design and document scalable data models and integration patterns
• Support enterprise integration, including Salesforce data and unified client ID strategies
• Migrate Azure Data Factory flows to Databricks for improved traceability
• Implement Unity Catalog for automated data lineage
• Deliver backlog items through Agile sprint planning

Skills & Experience

• Strong hands-on experience with Databricks, Fabric, Apache Spark, Delta Lake
• Proficient in Python, SQL, and PySpark
• Familiar with Azure Data Factory, Event Hub, Unity Catalog
• Solid understanding of data governance and enterprise architecture
• Effective communicator with experience engaging stakeholders

Desirable

• Experience with Salesforce data integration
• Prior involvement in platform PoCs or benchmarking
• Knowledge of Strategic ODS and enterprise integration strategies