Vind vacatures die bij jouw situatie passen.

• You engage with stakeholders to understand their challenges, goals and desires outcomes. You translate business needs into data solutions and products;
• 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 understanding business problems, working with stakeholders, shaping and building data solutions, 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.

• You bring 3–6 years of experience in data engineering or equivalent experience delivering production‑grade cloud pipelines;
• You bring hands-on experience with (Apache Spark on) Databricks;
• You have strong Python and SQL skills;
• You have experience building reliable batch and/or streaming data pipelines;
• You have worked in at least one major cloud environment (AWS, Azure or GCP) and understand cloud storage and security concepts;
• You are familiar with lakehouse principles, Delta Lake and incremental processing patterns;
• You understand data governance concepts such as catalogs, permissions, lineage and data contracts (Unity Catalog is a plus);
• You have experience with common ingestion patterns (files, APIs, databases) and know how to balance reliability, performance and cost;
• You communicate clearly and collaborate effectively with engineers, analysts and business stakeholders.