Senior Databricks AI-Driven Data Engineer

Cushman & Wakefield; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Job summary

Cushman & Wakefield is hiring a Senior Data Engineer to advance our Databricks-based lakehouse across EMEA & APAC. You will help build agentic data pipelines and governance, design scalable data models, and own end-to-end data quality.

The role emphasizes AI-enabled workflows, production support, and cross-domain data products in a real estate context. The ideal candidate has 6+ years in data engineering, strong SQL/Python, Databricks expertise, and familiarity with Delta Lake and Unity Catalog.

Qualifications

• 6+ years of relevant experience in data engineering or similar
• Degree in a quantitative field (CS, data science, math, physics)
• Strong SQL and Python/PySpark proficiency
• Experience with Databricks platform and data lakehouse concepts

Responsibilities

• Lead the shift to AI-driven data engineering and orchestration
• Steward Databricks-based data framework and improve it incrementally
• Design scalable data models consolidating sources worldwide
• Build ingestion pipelines from diverse data sources
• Own production troubleshooting and root cause analysis of data pipelines
• Report data quality improvements and ship measurable gains

Skills

Databricks

PySpark

SQL

Data Modeling

CI/CD

Azure

Education

Bachelor's degree in CS/Math or related field

Tools

Delta Lake

Unity Catalog

Job description

Cushman & Wakefield is hiring a Senior Data Engineer to advance our Databricks-based lakehouse across EMEA & APAC. You will help build agentic data pipelines and governance, design scalable data models, and own end-to-end data quality.

The role emphasizes AI-enabled workflows, production support, and cross-domain data products in a real estate context. The ideal candidate has 6+ years in data engineering, strong SQL/Python, Databricks expertise, and familiarity with Delta Lake and Unity Catalog.