Data Engineer (f/m/d)

Join Axpo’s Group IT as a Data Engineer
At Axpo’s Group IT, we’re on a mission to become the leading IT organization in the European energy sector. To help us achieve this, we’re seeking a Data Engineer to join our collaborative Business Intelligence team.

As a Data Engineer, you’ll lead the development and maintenance of the data infrastructure powering our BI solutions. Leveraging your expertise in Databricks, Azure Data Factory and Pyspark, and advanced data engineering practices, you’ll ensure data availability, quality, and scalability for critical business insights. You’ll also play a key role in fostering innovation and driving best practices within our data ecosystem.

Your Responsibilities

• Data Pipeline Development: Design, build, and maintain advanced data pipelines using Databricks and Azure Data Factory to integrate on-premise and cloud data sources.
• ETL Optimization: Develop and optimize ETL processes to guarantee data consistency, accuracy, and performance across our data lakehouse.
• BI Collaboration: Partner with BI engineers to structure data for seamless integration with Power BI and support reporting needs.
• Workflow Optimization: Enhance the scalability, reliability, and performance of data workflows across large datasets.
• Problem-Solving: Troubleshoot and resolve complex issues in data pipelines and infrastructure with minimal supervision.
• Best Practices Implementation: Collaborate with the central data platform team to establish robust standards for data quality, security, and scalability.
• Team Mentorship: Guide and mentor junior engineers, fostering a culture of continuous learning and knowledge sharing.

What We’re Looking For

Required Skills and Experience:

• Extensive experience in data engineering with expertise in Databricks (Python, PySpark, SQL) and Azure Data Factory.
• Proven ability to design and optimize high-performance data pipelines for large-scale environments.
• Strong understanding of cloud platforms, data lakes, and data warehousing concepts.
• Proficiency with GitHub or similar version control and CI/CD tools.
• Advanced English language skills. German (mandatory in Baden) and/or Spanish (mandatory in Madrid) are required based on the location.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• A solid academic background in engineering, mathematics, business, or a related field.

Personal Competencies:

• Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams and stakeholders.
• A collaborative and agile mindset, thriving in team environments.
• Independent, reliable, and capable of driving projects with minimal supervision.
• Open to innovation, with a keen eye for questioning the status quo and pursuing improvements.

Nice to Have

• Experience with BI tools like Power BI, with a willingness to support BI-related efforts as needed.
• Background in software engineering.
• Familiarity with Mulesoft.

Why Axpo?

At Axpo’s Group IT, we offer an exciting environment where experienced data engineers can lead and innovate. As a Senior Data Engineer, you’ll work with cutting-edge technologies like Databricks and Azure Data Factory, helping to shape the backbone of our data ecosystem. Collaborate with skilled BI engineers and stakeholders to tackle complex challenges, ensure data-driven insights, and drive impactful projects.

Join us to be part of a forward-thinking, dynamic team that values collaboration, innovation, and excellence.

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