Senior Data Engineer — AI-Driven Databricks Platform

Cushman & Wakefield

Greater London

On-site

GBP 90,000 - 130,000

Full time

5 days ago
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Job summary

Cushman & Wakefield is seeking a Senior Data Engineer to advance our AI-enabled, Databricks-based data platform across EMEA/APAC. You will lead architecture decisions, build agentic workflows, and push data quality improvements.

You will work with a team of analytical engineers shaping enterprise-scale data solutions. The role focuses on designing scalable data models, automating ingestion, and maintaining production pipelines while collaborating across regions to drive data-driven decisions in

Qualifications

  • Around 6 or more years of relevant experience.
  • Degree in computer science, data science, econometrics, mathematics or physics.
  • Driven and curious with a track record of solving new problems.
  • Strong written communication and documentation skills.

Responsibilities

  • Drive AI orchestration and build agentic workflows for data engineering tasks and CI/CD.
  • Steward and improve the Databricks-based framework.
  • Design data models to unify sources worldwide into a coherent shape.
  • Build data solutions for domains like MDM, geocoding, client mastering and profiling.
  • Design and implement automated ingestion pipelines from diverse sources.
  • Own production troubleshooting and root cause analysis.
  • Report on data quality and shipping improvements.

Skills

Advanced SQL
Python/PySpark
Data modeling
Data governance
Troubleshooting
Systems thinking
ETL/ELT concepts

Education

Bachelor's degree in a quantitative field

Tools

Databricks
Azure
Unity Catalog

Job description

Cushman & Wakefield is seeking a Senior Data Engineer to advance our AI-enabled, Databricks-based data platform across EMEA/APAC. You will lead architecture decisions, build agentic workflows, and push data quality improvements.

You will work with a team of analytical engineers shaping enterprise-scale data solutions. The role focuses on designing scalable data models, automating ingestion, and maintaining production pipelines while collaborating across regions to drive data-driven decisions in

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