Senior Data Engineer

You will own the design and delivery of scalable data solutions in Databricks to create a single source of truth and enable self-service data access across the business. Working in a small, high-impact Technology team, you help shape the data platform strategy and push for governance, quality, and security. You’ll collaborate with Finance, Product, Sales, Marketing and Engineering to translate challenges into robust data solutions. This is a ground-up data journey with visible impact on enterprise analytics and decision-making. You will mentor junior engineers and help mature the data function.

• bonus scheme
• health insurance
• income protection
• life assurance
• subsidised gym membership
• 25 days' holiday plus 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 contribute to maturing the data function

• Senior level experience in data engineering with strong 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 solutions
• Solid grounding in data architecture, modelling and modern data platform design
• Cloud experience (AWS preferred, Azure acceptable) and familiarity with CI/CD and source control
• Desirable: Data Science leaning background or interest in ML/AI and predictive modelling

• stakeholder collaboration
• strong communication
• mentorship and team development
• Databricks
• PySpark
• Spark SQL