O pozici
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
Co budeš dělat
- Design, build and maintain scalable batch data pipelines
- Develop and optimize ETL/ELT processes using SQL-first approach
- Model and transform data into clean, consumable datasets (analytics-ready)
- Ensure data quality, lineage, governance and observability across pipelines
- Own data warehouse transformations and semantic layers (e.g. dbt)
- Collaborate with product, analytics and data science teams to deliver datasets
- Monitor, debug and optimize data processing jobs
- Drive engineering standards, code reviews and best practices
Koho hledáme
- 5+ years of experience in Data Engineering
- Strong SQL skills and experience with relational and analytical databases
- Proven experience building batch data pipelines (ETL/ELT)
- Experience with modern data stack (e.g. dbt, Airflow or similar orchestration tools)
- Hands-on experience with AWS
- Solid understanding of data modeling (dimensional modeling, DWH concepts)
- Experience ensuring data quality and building reliable pipelines
- Experience with large-scale data processing (Spark or similar)
- Familiarity with data governance, lineage and observability tools
- Experience working with BI tools and analytics use cases
- Experience working in cross-functional teams (Product / Analytics / DS)
- Exposure to CI/CD for data pipelines
- Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
- Work from the European Union region and a work permit are required.
