Medior Data Engineer – Databricks & Lakehouse Platform (cloud)

Fugro

Nootdorp, Netherlands
On-site
Databricks lakehouse platform
Cloud-native batch and streaming pipelines
Pyspark and spark sql
Fugro is seeking a Medior Data Engineer to enhance their cloud-based lakehouse platform on Databricks in Nootdorp, Netherlands. The ideal candidate will have 3-6 years of experience in data engineering, strong skills in Python and SQL, and familiarity with cloud environments and data governance

Job Summary

  • Design, build, and maintain cloud-native batch and streaming pipelines on Databricks using Lakeflow, Delta Lake, and orchestration tools.
  • Implement the medallion architecture (bronze/silver/gold) to deliver trustworthy, performant datasets and take ownership of data quality, observability, and operational reliability.
  • Translate analytical and business requirements into scalable, pragmatic datasets that enable BI, analytics, and AI, while contributing to engineering best practices.

Matching Summary

Match Score: 85

Fugro is seeking a Medior Data Engineer to enhance their cloud-based lakehouse platform on Databricks in Nootdorp, Netherlands. The ideal candidate will have 3-6 years of experience in data engineering, strong skills in Python and SQL, and familiarity with cloud environments and data governance.

Skills & Requirements

Must-have

  • Databricks Lakehouse Platform
  • cloud-native batch and streaming pipelines
  • PySpark and Spark SQL
  • Delta Lake and medallion architecture
  • data quality and observability
  • Unity Catalog for governance

Nice-to-have

  • collaboration with domain teams
  • CI/CD and cost-efficient cloud usage
  • experience with common ingestion patterns

Key Requirements

  • 3-6 years of data engineering experience
  • Strong Python and SQL skills
  • Apache Spark on Databricks experience
  • Major cloud environment experience (AWS, Azure, GCP)
  • Familiarity with lakehouse principles and Delta Lake

Work Rights

Not specified

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