Databricks Data Engineer (f / m / d)

Overview

Who We Are

Axpo is driven by a single purpose – to enable a sustainable future through innovative energy solutions. As Switzerland's largest producer of renewable energy and a leading international energy trader, Axpo leverages cutting-edge technologies to serve customers in over 30 countries. We thrive on collaboration, innovation, and a passion for driving impactful change.

About the Team

You will report to the Head of Development and collaborate closely with the Chief Data & Analytics Office (CDAO) and business data teams. We share the goal of unlocking data and enabling self-service analytics capabilities across Axpo, within a cross-functional operating model that ensures data quality, semantics, and governance align with enterprise standards. You’ll work closely with the CDAO office and contribute to the definition and provision of data pipeline templates, used for the ingestion of source data as data products, aligned with business semantics, domain ownership, and enterprise data governance strategy. Our decentralized approach means close collaboration with various business hubs across Europe, ensuring local needs shape our global platform. You’ll find a mindset committed to innovation, collaboration, and excellence.

What You Will Do

As a Databricks Data Engineer, you will :

• Be a core contributor in Axpo’s data transformation journey by using Databricks as our primary data and analytics platform.
• Design, develop, and operate scalable data pipelines on Databricks, integrating data from a wide variety of sources (structured, semi-structured, unstructured).
• Leverage Apache Spark, Delta Lake, and Unity Catalog to ensure high-quality, secure, and reliable data operations.
• Apply best practices in CI / CD, DevOps, orchestration (e.g., Dragster, Airflow), and infrastructure-as-code (Terraform).
• Build reusable frameworks and libraries to accelerate ingestion, transformation, and data serving across the business.
• Work closely with data scientists, analysts, and product teams to create performant and cost-efficient analytics solutions.
• Drive the adoption of Databricks Lakehouse architecture and ensure that data pipelines conform to governance, access, and documentation standards defined by the CDAO office.
• Ensure compliance with data privacy and protection standards (e.g., GDPR).
• Actively contribute to the continuous improvement of our platform in terms of scalability, performance, and usability.

What You Bring & Who You Are

We’re looking for someone with :

Technologies You’ll Work With

Nice to Have

Benefits

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