Data Engineer

Il y a 3 jours

OostVlaanderen, Oost-Vlaanderen, Belgique Vivid Resourcing Temps plein 61 000 € - 73 000 € Contrat

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.