Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)

• You design, build and maintain cloud‑native batch and streaming pipelines on Databricks using Lakeflow, Delta Lake and orchestration tools.

• You implement the medallion architecture (bronze/silver/gold) to deliver trustworthy, performant datasets.

• You develop transformations in PySpark and Spark SQL and help standardise reusable engineering patterns.

• You take ownership of data quality, observability and operational reliability through validation, monitoring, alerting and runbooks.

• You work with Unity Catalog to ensure governed access, documentation and lineage‑aware development.

• You translate analytical and business requirements into scalable, pragmatic datasets that enable BI, analytics and AI.

• You contribute to engineering best practices, including code reviews, testing approaches, CI/CD and cost‑efficient cloud usage.

• You collaborate closely with platform, analytics and domain teams to deliver production‑ready data products end‑to‑end.

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. As we accelerate our digital transformation, we are looking for a hands‑on Medior Data Engineer who enjoys building reliable cloud data pipelines, curating trusted datasets, and enabling analytics and AI across the organisation. You will work closely with engineering, analytics, data science and domain teams to deliver production‑grade data products that power Fugro’s global operations.