A fast-growing SaaS company is looking for a Senior Data Engineer to help build and scale a digital twin solution.
Design and enhance a scalable data integration framework
Integrate big data from diverse sources into a graph-based model
Optimize pipelines for performance and growth
Collaborate with cross-functional teams (engineering, data, product)
Lead integration projects and mentor junior engineers
Experience with data engineering in large-scale environments
Strong coding skills (e.g. Python, SQL)
A proactive, collaborative mindset
Bonus: experience with supply chain or graph data models
Team player with strong communication skills and a collaborative mindset
Curious and eager to learn, especially about new tech and business context
Proactive and ownership-driven, taking responsibility from start to finish
Solution-oriented, focused on solving problems—not just spotting them
Experienced in ETL & Big Data, with 3–6 years in data engineering (ideally cloud-based)
Tech stack: Scala, PySpark, SQL, Azure Synapse and/or Databricks
Comfortable with modern system design, CI/CD, and cloud platforms (Azure, AWS, or GCP)
Fluent in English, Dutch is a plus
Strong client mindset and ability to build long-term relationships
Interested? Contact us!