Medior Data Engineer – Databricks & Lakehouse Platform (cloud)
Fugro
Unknown
Base: competitive salary; bonus/equity: not specif...
Fully remote
Cloud-native data pipelines
Databricks and delta lake
Python and sql programming
Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale
Job Summary
Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale.
You will work closely with engineering, analytics, data science and domain teams to deliver production‑grade data products that power Fugro’s global operations.
Fugro offers a competitive salary; 29 holidays per year with the possibility to purchase additional days; flexible working hours and the ability to work from home; and extensive career and training opportunities.
Matching Summary
Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale.
Salary
Base: Competitive salary; Bonus/Equity: Not specified; Benefits: 29 holidays, flexible working hours, commuting allowance, pension scheme, health insurance, fitness plan, coaching options
Skills & Requirements
Must-have
cloud-native data pipelines
Databricks and Delta Lake
Python and SQL programming
Apache Spark on Databricks
major cloud environment experience
data governance and Unity Catalog
medallion architecture implementation
Nice-to-have
collaboration with analytics and domain teams
engineering best practices and CI/CD
cost-efficient cloud usage
data quality and observability
incremental processing patterns
communication with business stakeholders
Key Requirements
3–6 years data engineering experience
experience with cloud pipelines
strong Python and SQL skills
experience with Apache Spark on Databricks
experience in at least one major cloud environment