Responsibilities

• Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks
• Develop and optimize transformation pipelines for batch and streaming data
• Apply software engineering and DevOps practices (CI/CD, testing, version control)
• Implement and operate data solutions on cloud platforms (AWS, Azure, or GCP)
• Collaborate closely with business stakeholders to gather, clarify, and translate requirements
  

Profile

• Hands-on experience in Data Engineering with Python
• Strong knowledge of Databricks / Sparks and building transformation pipelines
• Experience with DevOps methodology and software-engineering-focused projects
• Cloud expertise (AWS, Google Cloud, or Azure)
• Excellent communication and social skills, including collaboration with business stakeholders
• Experience in requirement engineering
• Industry knowledge in the energy sector (grid operations, local substations) is a plus

Benefits

• Possibilities to work in a home office
• Varied tasks in a renowned company
• You will work in an international environment

‍