Databricks Data Engineer (f/m/d)

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 directly to our Head of Development and join a team of highly committed IT data platform engineers with a shared goal: unlocking data and enabling self-service data analytics capabilities across Axpo. 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 re-usable 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 help standardize data governance, access policies, and documentation.
• 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:

• A university degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Strong experience with Databricks, Spark, Delta Lake, and SQL/Scala/Python.
• Proficiency in dbt, ideally with experience integrating it into Databricks workflows.
• Familiarity with Azure cloud services (Data Lake, Blob Storage, Synapse, etc.).
• Hands-on experience with Git-based workflows, CI/CD pipelines, and data orchestration tools like Dragster and Airflow.
• Deep understanding of data modeling, streaming & batch processing, and cost-efficient architecture.
• Ability to work with high-volume, heterogeneous data and APIs in production-grade environments.
• Knowledge of data governance frameworks, metadata management, and observability in modern data stacks.
• Strong interpersonal and communication skills, with a collaborative, solution-oriented mindset.
• Fluency in English.

Technologies You’ll Work With

• Core: Databricks, Spark, Delta Lake, Python, dbt, SQL
• Cloud: Microsoft Azure (Data Lake, Synapse, Storage)
• DevOps: Bitbucket/GitHub, Azure DevOps, CI/CD, Terraform
• Orchestration & Observability: Dragster, Airflow, Grafana, Datadog, New Relic
• Visualization: Power BI
• Other: Confluence, Docker, Linux

Nice to Have

• Experience with Unity Catalog and Databricks Governance Frameworks
• Exposure to Machine Learning workflows on Databricks (e.g., MLflow)
• Knowledge of Microsoft Fabric or Snowflake
• Experience with low-code analytics tools like Dataiku
• Familiarity with PostgreSQL or MongoDB
• Front-end development skills (e.g., for data product interfaces)