Senior Data Engineer EMEA

Salary: £61,000 - 101,000 per year

Requirements:

• We are looking for around 6 or more years of relevant experience.
• We are looking for a degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.
• We want someone with strong systems thinking who builds for scale.
• We need strong production troubleshooting and root cause analysis skills.
• We need experience in data modeling, including cross-functional data products, data contracts, and complex business rules.
• We need advanced SQL skills, including window functions, query optimization, and MERGE/UPSERT operations.
• We need strong Python and PySpark skills, including reusable, parameterized functions and working with JSON, CSV, and Parquet.
• We need deep experience with Databricks, including Declarative Pipelines, DABS, Delta Lake, Spark optimization, and job orchestration.
• We want familiarity with the Azure ecosystem and a working understanding of Unity Catalog.
• We value strong written communication for async updates and clear documentation.
• Nice to have: advanced Spark optimization, geospatial data processing, recursive CTEs, infrastructure familiarity with Azure tools, strong Git workflows, and real estate domain experience.

Responsibilities:

• We will have you drive the shift from a code-writing team to an AI orchestration team by building agentic workflows for data engineering tasks and CI/CD.
• We will have you design semantic models for downstream consumption and implement an AI Gateway for governance.
• You will steward our AI-amplified Databricks-based framework, maintaining it and improving it incrementally.
• You will design data models that bring sources from anywhere in the world into a single coherent shape.
• You will build data solutions for domains such as custom MDM, geocoding, client mastering, and profiling.
• You will design and implement stable, automated ingestion pipelines from diverse sources.
• You will own production troubleshooting and root cause analysis for pipeline failures, performance issues, and data quality problems.
• You will report on data quality and deliver improvements that move the numbers.
• You will work directly with the team lead and analytical engineers on the technical direction of the platform.

Technologies:

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

More:

We are a Centre of Excellence within a larger EMEA team, with deep specialization in data engineering. Our mission is to build the platform that defines how our organization wins in the age of AI, with a solution that will be used globally. We are in the middle of a transition from a team that writes code to a team that orchestrates AI to write, test, and operate code on our behalf. This is a hands-on senior engineering role with significant influence on the technical direction of the platform. We offer autonomy, dedicated learning time, a strong growth path, and a solid technical foundation built on existing architecture, standards, and best practices. At Cushman & Wakefield, we are a leading global real estate services firm with a flexible and agile work environment, career development and promotion from within, a comprehensive employee benefits program, and a strong commitment to diversity, inclusion, work-life balance, and accessible, barrier-free employment. The role is based in London, United Kingdom and is full time.

last updated 34 week of 2026