Medior Data Engineer – Databricks & Lakehouse Platform (cloud)

Fugro

Competitive salary; 29 holidays py (4 appointed by...
Fully remote
3-6 years experience in data engineering
Strong python and sql skills
Hands-on apache spark on databricks
The role involves building a modern cloud-based lakehouse platform on Databricks to unlock high-quality, governed data at scale

Job Summary

  • The role involves building a modern cloud-based lakehouse platform on Databricks to unlock high-quality, governed data at scale.
  • Candidates will design reliable batch and streaming pipelines while implementing medallion architecture to deliver trustworthy datasets.
  • Fugro offers a competitive salary, 29 holidays per year, flexible working hours, and extensive career training opportunities.

Matching Summary

The role involves building a modern cloud-based lakehouse platform on Databricks to unlock high-quality, governed data at scale.

Salary

Competitive salary; 29 holidays per year (4 appointed by management); Possibility to purchase 12 additional days

Skills & Requirements

Must-have

  • 3-6 years experience in data engineering
  • Strong Python and SQL skills
  • Hands-on Apache Spark on Databricks
  • Experience with major cloud environments AWS Azure GCP
  • Familiarity with lakehouse principles and Delta Lake

Nice-to-have

  • Unity Catalog knowledge for governance
  • Experience with incremental processing patterns
  • Understanding of data contracts
  • Collaboration with analytics and domain teams
  • Contribution to CI/CD and testing approaches

Key Requirements

  • 3-6 years of data engineering experience
  • Production-grade cloud pipeline delivery track record
  • Cloud storage and security concepts understanding

Work Rights

Not specified

Tailored Resume

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