At Sytac, we build high-performing engineering teams for leading organizations. We combine a pragmatic, people-first culture with technical craftsmanship, giving engineers autonomy in real production environments.
For one of our key clients in the Netherlands, we are looking for a Senior Data Engineer who treats data pipelines like high-quality software. We aren't just looking for someone to move data; we want an engineer who comes from a Software Engineering background, someone who prioritizes clean code, scalability, and robust automation over manual configuration.
What you’ll do
- Apply software engineering best practices, such as modular design, version control, and testing, to complex data architectures.
- Develop robust ETL/ELT workflows using Python, PySpark, and SQL, ensuring they are as maintainable as any production application.
- Design scalable environments using Medallion architecture (Bronze, Silver, Gold) and Star Schema modeling within Azure and GCP.
- Use Terraform or Bicep for Infrastructure as Code (IaC) and manage containerized deployments via Docker and Kubernetes.
- Leverage AI-assisted development (Copilot, Cursor) to build smarter pipelines and integrate LLM capabilities where they add value.
- Drive a culture of continuous improvement using CI/CD (Azure DevOps/GitHub Actions) and Apache Airflow for orchestration.
- Work closely with stakeholders to translate business logic into high-quality technical specs, acting as a technical lead for the data domain.
What we’re looking for
- A strong background in software development, with at least 6 years of experience and an HBO/WO level of thinking.
- Expert-level Python and SQL (PostgreSQL, MS SQL, Oracle). You write code that is clean, tested, and reusable.
- Deep experience with Apache Spark and PySpark for distributed data processing.
- Hands-on experience with Azure (Databricks, Synapse) and/or GCP (BigQuery, Dataflow).
- Solid experience with Kafka, Docker, Kubernetes, and Apache Airflow.
- Strong proficiency in Git and building automated CI/CD pipelines.
- Experience with Data Lake/Lakehouse environments and dimensional modeling.
Nice to have
- Experience with Scala, Java, or Kotlin is a huge plus given your software background.
- Experience with dbt, pandas/polars, or FastAPI.
- Proficiency in Dutch is highly valued.
Life at Sytac
Working at Sytac means joining a community that prioritizes your growth. Our benefits package is designed for flexibility, learning, and adventure:
- Unlimited Growth Days: Enjoy yout professional development and Sytac activities!
- The Best Gear: Pick a private laptop (<€4,000) with 50% paid by us, plus a tech budget.
- Invest in You: A €2,400 annual growth budget for training and conferences.
- Future Proof: We contribute 3.75% to your pension.
- Legendary Trips: Join our annual ski trips, beach BBQs, and epic parties!