Short Summary:

Join one of the Netherlands’ leading digital transformation programs and play a key role in enabling a data-driven enterprise. You’ll be part of a forward-thinking Data & AI team driving automation, scalability, and innovation across modern data platforms.

We’re looking for a passionate Data DevOps Engineer who thrives on automation, cloud technologies, and creating value from data.

What You Will Do:

• Design, build, and maintain data pipelines and automated workflows that deliver reliable, high-quality data for analytics and operations.
• Work closely with cross-functional teams to transform large-scale data into actionable insights that improve business performance.
• Implement DataOps best practices to ensure scalability, reliability, and security across data products.
• Contribute to data model design, ETL optimization, and performance tuning within Enterprise Data Warehouses and Data Marts.
• Use tools such as Azure Data Factory, Informatica, Airflow, Jenkins, and Git to automate data workflows.
• Enforce data governance, security, and compliance standards in daily operations.
• Continuously innovate and improve existing data architectures and delivery processes.

What You’ll Bring:

• 3+ years of experience with Enterprise Data Warehouses and Data Marts.
• 2+ years of experience in data modelling and designing scalable solutions.
• Proficiency in SQL and Python (or similar programming language).
• Experience with Azure (preferred) or other cloud environments.
• Familiarity with Teradata, Informatica, Azure Synapse, Power BI, Kafka, and streaming data.
• Good understanding of Linux/UNIX systems and CI/CD automation (Jenkins, Git, Airflow).
• Experience working in agile environments using tools like JIRA, Confluence, and Slack.
• A mindset of ownership, collaboration, and continuous improvement.

Soft Skills:

• Analytical and detail-oriented
• Open-minded and proactive
• Team player with strong communication skills
• Result-driven and accountable
• Curious and eager to learn new technologies