Senior Data Engineer — Agentic AI on Databricks Lakehouse

Cushman & Wakefield; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Cushman & Wakefield in London is hiring a Senior Data Engineer to lead the data transformation across EMEA/APAC. You will work on Databricks-based Lakehouse, design data models, and build agentic AI workflows that scale.

The role emphasizes hands-on development, production troubleshooting, and collaboration with analysts and engineers to raise data quality. The ideal candidate has 6+ years in data engineering, strong SQL, Python/PySpark, and experience with Databricks and Azure, with a passion

Qualifications

• 6+ years of relevant experience in data engineering or analytics.
• Degree in a quantitative field such as CS, Data Science, Math, or Physics.
• Strong written communication and ability to document work clearly.

Responsibilities

• Build and maintain Databricks-based data pipelines and Lakehouse architecture.
• Design data models and data contracts for enterprise-wide consumption.
• Troubleshoot production issues, diagnose root causes and improve data quality.

Skills

Advanced SQL

Python/PySpark

Data modeling

Production troubleshooting

Systems thinking

Education

Degree in a quantitative field

Tools

Databricks

Azure

Unity Catalog

Job description

Cushman & Wakefield in London is hiring a Senior Data Engineer to lead the data transformation across EMEA/APAC. You will work on Databricks-based Lakehouse, design data models, and build agentic AI workflows that scale.

The role emphasizes hands-on development, production troubleshooting, and collaboration with analysts and engineers to raise data quality. The ideal candidate has 6+ years in data engineering, strong SQL, Python/PySpark, and experience with Databricks and Azure, with a passion