Data Engineer
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Join a fast-growing Ghent health tech company that is using data to change how healthcare works. Its platform helps providers and life sciences organisations deliver better care, and as a data engineer you’ll build the foundations behind it, in a team that is scaling fast and gives you real influence.
Responsibilities
- Design, develop and maintain scalable ETL/ELT pipelines powering health tech products, analytics and operational processes.
- Build and optimise cloud-based data lakes, data warehouses and modern data platforms that handle sensitive health data securely.
- Integrate data from APIs, databases, SaaS platforms, medical devices, IoT sensors and healthcare systems (for example EHR and FHIR/HL7 sources).
Your Profile
- 2-5 years of experience as a Data Engineer or in a similar data-focused engineering role.
- Strong hands-on experience with Python and SQL.
- Proven experience building and maintaining production-grade ETL/ELT pipelines.
- Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric or similar.
- Practical experience with Azure, AWS or GCP.
- Good understanding of Apache Spark and modern data platform architectures.
- Experience with Docker, Git, CI/CD, and ideally Kubernetes.
- Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams and business stakeholders.
What’s on Offer
- Salary of up to €6,000 gross per month, depending on experience.
- Company car or mobility budget.
- Hybrid working model with a modern office environment in Ghent.
- Meal vouchers, group insurance and hospitalisation insurance.
- Ongoing technical training and certification opportunities.
- Clear career progression towards Senior Data Engineer, Data Architect or Tech Lead.
- The chance to work with modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow and Spark.
- A direct impact on a growing health tech product and data platform that helps improve care.
- A collaborative, technically ambitious environment where data is central to the product and business strategy.