114.588 vacatures

5 jun 2026

Data DevOps Engineer - temporary

Branche Zie onder
Dienstverband Zie onder
Uren Zie onder
Locatie Amersfoort
Opleidingsniveau HBO / bachelor
Contactpersoon Ingrid Leenders

Informatie

As a Data DevOps Engineer, you adopt a 'we build it, we own it' mindset and bear technical responsibility for end-to-end data pipelines. What are you going to do? 

  • Act as the technical lead for cloud and streaming solutions, bringing along and coaching the team in this transition;
  • Design and implement the migration from the on-premise Microsoft Data Stack to a modern Azure Cloud platform (including Microsoft Fabric);
  • Build, manage, and optimize real-time data ingestion (e.g., reading from Kafka topics) to directly improve digital customer experiences;
  • Drive towards 100% automation by setting up Airflow and robust CI/CD pipelines;
  • Ensure data quality, security guidelines, and compliance rules within daily operations.

Omschrijving

As a Data DevOps Engineer, you adopt a 'we build it, we own it' mindset and bear technical responsibility for end-to-end data pipelines. What are you going to do? 

  • Act as the technical lead for cloud and streaming solutions, bringing along and coaching the team in this transition;
  • Design and implement the migration from the on-premise Microsoft Data Stack to a modern Azure Cloud platform (including Microsoft Fabric);
  • Build, manage, and optimize real-time data ingestion (e.g., reading from Kafka topics) to directly improve digital customer experiences;
  • Drive towards 100% automation by setting up Airflow and robust CI/CD pipelines;
  • Ensure data quality, security guidelines, and compliance rules within daily operations.

Functie eisen

What do you bring? 

  • Expertise in SQL/SQL Server, SSIS, and SSAS, bridging legacy and modern data architectures;
  • Proficiency in Microsoft Fabric and IDMC, with experience in streaming data technologies like Kafka;
  • Proven ability to drive 100% automation, quality, effectiveness, and efficiency in data solutions;
  • Demonstrated technical leadership for streaming initiatives and experience managing technical teams;
  • Strong analytical, results-oriented, and proactive soft skills, with an HBO (higher vocational) educational background and excellent English communication.
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