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Greater London, England, United Kingdom
Hybrid
Job Title
Senior Data Engineer EMEAJob Description Summary
About the teamJob Description
Driving the shift from a code writing team to an AI orchestration team. This means building agentic workflows that handle data engineering tasks and CI/CD, designing semantic models for downstream consumption, and implementing an AI Gateway for governance.
Stewarding our AI amplified Databricks based framework, maintaining it and improving it incrementally as we learn.
Designing data models that bring sources from anywhere in the world into a single coherent shape.
Building data solutions for domains like custom MDM, geocoding, client mastering, and profiling. Real estate context is a plus but not required.
Designing and implementing stable, automated ingestion pipelines from diverse sources.
Owning production troubleshooting and root cause analysis. When things go wrong, you diagnose and resolve pipeline failures, performance issues, and data quality problems by working through code, logs, and documentation systematically.
Reporting on data quality and shipping the improvements that move the numbers.
Systems thinking. You see the bigger picture and build for scale rather than for the ticket in front of you.
Production troubleshooting and root cause analysis. You diagnose and resolve pipeline failures, performance issues, and data quality problems under pressure, working through code, logs, and documentation systematically rather than guessing.
Data modeling. You design cross functional data products, establish data contracts, and handle complex business rules.
Advanced SQL, including window functions, query optimization, and MERGE/UPSERT operations.
Python and PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet.
Deep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration).
Familiarity with the Azure ecosystem.
Working understanding of Unity Catalog.
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.
Driven and curious. You want to work on things that have not been figured out yet.
Strong written communication. Async updates and clear documentation are part of the job.
Advanced Spark optimization (broadcast joins, salting, partitioning strategies).
Geospatial data processing (H3 indexes, spatial SQL, point in polygon at scale).
Recursive CTEs and complex SQL patterns.
Infrastructure familiarity (Azure Portal, resource management, CLI).
Strong Git workflows and code review habits.
Real estate domain experience.
Autonomy. We set the high level roadmap. You decide how to get there.
Dedicated learning time and a team that levels each other up. The frontier moves weekly. We give you the time to keep up with it, and you will be surrounded by people doing the same.
A growth path. The team is growing and its role in how the company operates is growing with it. There is real room to expand your scope.
A solid technical foundation. The architecture, standards, and best practices are already in place. You build on top, not from scratch.
Why join Cushman & Wakefield?
As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organization committed to Diversity and Inclusion
We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.
We have a vision of the future, where people simply belong.
That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, color, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.
Cushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.