Senior Data Engineer

As a Senior Data Engineer, you will own and shape scalable data solutions on Databricks to create a single source of truth and enable self-service data access across the business. You will work closely with Finance, Product, Sales, Marketing and Engineering to translate challenges into robust data solutions. The role focuses on building data pipelines, improving data quality and governance, and maturing the data function. This is a high-impact, hands-on position at a fast-growing company with broad visibility in data strategy.

• health insurance
• income protection
• life assurance
• subsidised gym membership
• 25 days' holiday
• birthday off

• Design, build and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL and Delta Lake
• Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems
• Shape enterprise data architecture balancing scalability, performance, security and maintainability
• Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to translate business challenges into technical solutions
• Embed data quality, governance and access controls throughout the data lifecycle
• Mentor a junior engineer and help mature a growing data function

• Senior level experience in data engineering
• Strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake)
• Advanced SQL and Python coding
• Track record of building and optimising enterprise-scale data pipelines and ETL/ELT
• Solid grounding in data architecture, modelling and modern data platform design
• Cloud experience, preferably AWS, and familiarity with CI/CD and source control best practice

• Cross-functional collaboration
• Mentoring/leadership
• Communication with stakeholders
• Databricks
• PySpark
• Spark SQL