Databricks Data Engineer (f/m/d)
Databricks Data Engineer (f/m/d)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Who We Are
Axpo is driven by a single purpose to enable a sustainable future through innovative energy solutions. As Switzerlands 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. Youll 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 Axpos 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
Were 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 Youll 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)
Employment Type
Full Time
