Senior Data Engineer

In this role you will own the design and delivery of scalable data solutions on a Databricks-based platform, enabling trusted self-service data across the business. You’ll help shape the enterprise data architecture and governance while partnering with finance, product, sales, marketing and engineering to translate business needs into technical outcomes. You’ll mentor a junior engineer and contribute to building a data function from the ground up. This is a hands-on, high-impact position central to the company’s data strategy.

• Health insurance
• Income protection
• Life assurance
• Subsidised gym membership
• 25 days' holiday plus birthday off
• Remote work with occasional London office visits

• 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 turn 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 with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake)
• Advanced SQL and Python coding skills
• Track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions
• 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
• Stakeholder communication
• Databricks
• PySpark
• Spark SQL