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, building, testing, and deploying scalable data pipelines for reporting and analytics use cases.
- Reviewing existing reporting pipelines and refactoring them to improve reliability, performance, and maintainability.
- Collaborating with Data Architects, Product Managers, and Engineering teams to translate reporting needs into robust technical solutions.
- Ensuring compliance with platform standards for data modelling, code quality, testing, CI/CD, and security.
- Owning SRE practices for data pipelines, diagnosing incidents, and implementing durable corrective actions.
Requirements
- At least 8 years of professional experience in Data Engineering, including ownership of production-grade pipelines.
- Strong, demonstrable hands-on experience with Microsoft Azure and Databricks.
- Advanced SQL and Python skills.
- Solid understanding of modern data-platform and lakehouse principles, including medallion architecture.
- Experience with software engineering and DataOps practices, such as version control, automated testing, and monitoring.
What we offer
- Generous development budgets and funding for professional certifications.
- Access to premium learning platforms like Udemy and O'Reilly.
- Participation in technology guilds, internal training, and industry conferences.
- Comprehensive private medical healthcare and mental health support.
- Subsidized MultiSport card for physical activity.