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Databricks Data Engineer, hibrido Job Opening In Madrid – Now Hiring Axpo Group


Job description

Databricks Data Engineer
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)

Department Installation / Maintenance / Servicing / Craft Locations Madrid Remote status Hybrid
Spark, Databricks, Python, SQL, Scala

Required Skill Profession

Computer Occupations


  • Job Details

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