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
- Own and operate existing data and feature pipelines powering recommendation and advertising machine learning systems.
- Ensure billions of daily events flow reliably through ingestion and processing, supported by monitoring and data-quality checks.
- Support Data Scientists and Analysts by providing reliable data for production models and experiments.
- Troubleshoot and resolve data issues to keep the platform stable and within SLA.
- Maintain documentation and runbooks to ensure smooth knowledge transfer.
Requirements
- Several years of hands-on Data Engineering experience with the ability to work independently.
- Strong programming skills in Python, SQL, and Spark, with proven experience building large-scale ETL/ELT pipelines.
- Hands-on experience with orchestration tools such as Airflow and cloud providers like GCP.
- Solid software engineering fundamentals, including Git, CI/CD, testing, and clean, maintainable code.
- Strong ownership mindset and the ability to troubleshoot production issues effectively.
What we offer
- Generous development budgets and funding for professional certifications.
- Access to educational platforms like Udemy and O'Reilly.
- Participation in technology guilds, internal training, and industry conferences.
- Private medical healthcare and mental health support.
- Subsidized MultiSport card for physical activity.