Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience. We help organizations design and build scalable products, platforms, and data-driven solutions, combining deep technical expertise with a strong focus on engineering excellence.
Key responsibilities
- Designing and implementing scalable data pipelines on Databricks.
- Standardizing existing pipelines and migrating legacy data solutions.
- Developing complex data transformations using dbt and Python.
- Collaborating with data architects and analytics teams to support global data onboarding.
- Optimizing performance and resource usage within data platforms.
Requirements
- Strong professional experience as a Data Engineer with hands-on Databricks expertise.
- Very good knowledge of Python for data processing and dbt for transformation layers.
- Solid understanding of data pipeline design, orchestration, and medallion architecture.
- Experience with cloud-based data platforms such as Azure, AWS, or GCP.
- Ability to work independently and take ownership of data solutions in a distributed team.
What we offer
- Opportunity to work on large-scale, international data projects for global clients.
- A culture focused on continuous growth, knowledge sharing, and engineering excellence.
- Full remote work environment within the European Union.
- Exposure to cutting-edge technologies including MLOps and advanced data science foundations.