Data Engineer

The organization is an innovative energy-sector company focused on data-driven energy solutions and accelerating the energy transition. Sustainability is central to its services and way of working.

• Develop, maintain, and optimize data pipelines and data models;
• Build scalable and reliable data architecture;
• Automate data validation, monitoring, and quality controls;
• Improve data quality and performance;
• Integrate data from diverse sources and systems;
• Document technical decisions and data flows;
• Collaborate with different teams on data-driven applications.

• At least 5 years of experience as a Data Engineer or in a comparable role;
• Excellent Python experience for data processing and automation;
• Strong SQL skills and experience with data modeling;
• Experience with container technology such as Docker or Podman;
• Familiarity with API integrations, system integrations, and data migrations;
• Independent, analytical, communicative, and entrepreneurial mindset;
• Comfortable working in a dynamic and growing organization;
• Nice to have: Kubernetes.

• Salary aligned with experience;
• Broad, independent role with significant room for innovation and initiative;
• Training and certification opportunities;
• Flexible working hours;
• The organization actively contributes to the energy transition and values sustainability.