Senior Data Engineer

Salary: £61,000 - 101,000 per year

Requirements:

• Around 6 or more years of relevant experience.
• A degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.
• Strong systems thinking and the ability to build for scale.
• Experience with production troubleshooting and root cause analysis.
• Strong data modelling skills, including designing cross-functional data products, establishing data contracts, and handling complex business rules.
• Advanced SQL skills, including window functions, query optimization, and MERGE/UPSERT operations.
• Strong Python and PySpark skills.
• Deep experience with Databricks, including Declarative Pipelines, DABS, Delta Lake, Spark optimization, and job orchestration.
• Familiarity with the Azure ecosystem.
• Working understanding of Unity Catalog.
• Strong written communication and documentation skills.
• Driven and curious mindset, with a desire to work on unsolved problems.
• Nice-to-have experience with agentic data engineering.
• Nice-to-have experience with geospatial data processing.
• Nice-to-have experience with recursive CTEs and complex SQL patterns.
• Nice-to-have infrastructure familiarity with Azure Portal, resource management, and CLI.
• Nice-to-have strong Git workflows and code review habits.
• Nice-to-have real estate domain experience.

Responsibilities:

• Drive the shift from a code-writing team to an AI orchestration team.
• Build agentic workflows that handle data engineering tasks and CI/CD.
• Design semantic models for downstream consumption.
• Implement an AI Gateway for governance.
• Steward our AI-amplified Databricks-based framework and improve it incrementally as we learn.
• Design data models that bring sources from anywhere in the world into a single coherent shape.
• Build data solutions for domains like custom MDM, geocoding, client mastering, and profiling.
• Design and implement stable, automated ingestion pipelines from diverse sources.
• Own production troubleshooting and root cause analysis.
• Diagnose and resolve pipeline failures, performance issues, and data quality problems systematically.
• Report on data quality and ship improvements that move the numbers.

Technologies:

• AI
• Azure
• CI/CD
• Databricks
• Git
• Python
• PySpark
• SQL
• Spark
• Unity
• Cloud
• GameDev
• Agentic AI
• JSON

More:

We are the team leading the data transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established and mature and already supports the business end to end. This is a hands-on senior role on key transformation projects across EMEA and APAC, working directly with the team lead and a group of analytical engineers in London, United Kingdom. We offer autonomy, dedicated learning time, a team that levels each other up, a rare growth path, and a solid technical foundation built on existing architecture, standards, and best practices. We are committed to equity in employment and a diverse, inclusive, and barrier-free workplace.

last updated 36 week of 2026