Medior Data Engineer – Databricks & Lakehouse Platform (cloud)
Fugro
Unknown
Fully remote
Databricks and lakehouse platform
Cloud-native batch and streaming pipelines
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.
The role involves designing and maintaining cloud-native data pipelines, implementing medallion architecture, and ensuring data quality and governance.
Fugro offers a competitive salary, 29 holidays per year with options to purchase more, flexible working hours, extensive career and training opportunities, and various employee benefits.
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.
Skills & Requirements
Must-have
Databricks and Lakehouse platform
Cloud-native batch and streaming pipelines
Python and SQL programming
Apache Spark on Databricks
Experience with major cloud environments
Delta Lake and incremental processing
Data governance and Unity Catalog
Nice-to-have
Medallion architecture implementation
Data quality and observability practices
Collaboration with analytics and domain teams
CI/CD and cost-efficient cloud usage
Clear communication with stakeholders
Key Requirements
3–6 years data engineering experience
Strong Python and SQL skills
Hands-on Apache Spark experience
Experience with AWS, Azure or GCP
Familiarity with data governance concepts
Experience with ingestion patterns (files, APIs, databases)