Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)
Core
Design, build, and maintain cloud-native batch and streaming pipelines on Databricks to deliver trusted datasets for analytics and AI.
Role type
Medior Data Engineer (Lakehouse Platform)
Builds
Production-grade data products and governed datasets for Fugro's global operations
Domain
Geo-data industry, Cloud Data Engineering, Lakehouse Architecture
Deliverable
production ML models | product features
Required skills
Python, SQL, Apache Spark, Databricks, Cloud Storage, Data Governance, CI/CD, Data Quality Monitoring
Preferred skills
Unity Catalog, Delta Lake, Incremental Processing, Lakeflow
Technologies
Databricks, Lakeflow, Delta Lake, Unity Catalog, PySpark, Spark SQL
Responsibilities
Design and maintain cloud-native batch and streaming pipelines; Implement medallion architecture (bronze/silver/gold); Develop transformations in PySpark and Spark SQL; Ensure data quality, observability, and operational reliability; Manage governed access and lineage using Unity Catalog; Translate business requirements into scalable datasets; Contribute to engineering best practices including code reviews and testing.
Seniority
Medior, hands-on IC
