Lead Data Engineer Emea

CUSHMAN & WAKEFIELD

Kochi, India
Databricks framework stewardship
Production troubleshooting pipeline failures
Root cause analysis complex issues
You will lead a team of 1-2 senior and 2 junior data engineers, taking ownership of our existing Databricks framework while ensuring operational excellence across ~100 data pipelines

Job Summary

  • You will lead a team of 1-2 senior and 2 junior data engineers, taking ownership of our existing Databricks framework while ensuring operational excellence across ~100 data pipelines.
  • This is a hands-on technical leadership role where you'll split your time between mentoring your team, maintaining operational stability, and contributing code to deeply understand our systems.
  • As the team scales to 8-10+ engineers over 18-24 months, there is potential progression to Data Engineering Manager with full people management responsibilities.

Matching Summary

You will lead a team of 1-2 senior and 2 junior data engineers, taking ownership of our existing Databricks framework while ensuring operational excellence across ~100 data pipelines.

Skills & Requirements

Must-have

  • Databricks framework stewardship
  • Production troubleshooting pipeline failures
  • Root cause analysis complex issues
  • Data modeling cross-functional products
  • Python/PySpark reusable functions
  • Databricks Delta Lake Spark optimization

Nice-to-have

  • Advanced Spark optimization strategies
  • Geospatial data processing scale
  • Near-real-time processing
  • Azure ecosystem familiarity
  • Git workflows code review practices

Key Requirements

  • 6-8 years in data engineering
  • 4 years hands-on Databricks PySpark
  • 2-3 years lead or senior role

Work Rights

Not specified

Tailored Resume

Cover Letter