Data Engineer (m/w/d)

Job Description

For one of our clients in the Dutch energy sector , we are looking for an experienced Data Engineer to develop and maintain scalable data solutions supporting data-driven decision-making and the energy transition.

You will work with modern cloud and data technologies and collaborate with Data Scientists, Analysts, Architects, Product Owners and business stakeholders.

Your responsibilities:

• Design, build and maintain scalable data pipelines and data platforms.
• Develop ETL/ELT processes and data integrations.
• Transform complex datasets into reliable and reusable data products.
• Build and maintain cloud-based data solutions.
• Ensure data quality, reliability, security and performance.
• Work with stakeholders to translate business requirements into technical data solutions.
• Collaborate with Data Scientists, Analysts, Architects and other engineering teams.
• Contribute to data-platform modernisation and cloud migration projects.
• Implement automated testing and CI/CD practices.
• Help establish and improve data-engineering standards and best practices.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Experience within the Dutch energy, utilities, renewable-energy or infrastructure sector .
• Strong knowledge of Python and SQL .
• Experience developing ETL/ELT pipelines.
• Experience with Azure or another major cloud platform .
• Experience with modern data platforms such as Databricks, Microsoft Fabric, Azure Synapse or Snowflake .
• Understanding of data modelling, data quality and data governance.
• Experience working in Agile and/or DevOps environments.
• Strong analytical and problem-solving skills.
• Excellent Dutch and English communication skills and the ability to work with both technical and business stakeholders.
• Relevant cloud or data-engineering certifications are a plus, particularly Azure, Databricks or cloud-data-platform certifications .

Energy-sector experience

Experience with one or more of the following is particularly relevant:

• Energy trading
• Renewable energy
• Electricity and gas
• Energy networks and grid infrastructure
• Utilities
• Smart meters and IoT
• Energy consumption and forecasting
• Asset data
• Energy markets
• Energy transition and sustainability
• Customer or billing data

Additional Information

All our positions are open to both women and men and are, of course, open to people with disabilities.