Senior Azure Data Engineer

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. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, the team of nearly 1,000 experts delivers modern applications, data platforms, and AI solutions for clients including McLaren, Aviva, Deloitte, and others. They work with leading technologies such as AWS, Azure, GCP, Databricks, and Snowflake, combining engineering culture with consulting and continuous knowledge sharing.

• At least 8 years of professional experience in Data Engineering, including ownership of production-grade data pipelines
• Strong, demonstrable hands-on experience with Microsoft Azure and Databricks
• Advanced SQL and Python skills
• Strong experience designing, building, and operating data pipelines and analytical data products
• Good command of modern data-platform and lakehouse principles, including medallion architecture and dimensional modelling for reporting
• Experience with software engineering and DataOps practices including version control, automated testing, CI/CD, deployment, monitoring, and incident management
• Experience with SRE practices and continuous operational improvements
• Strong stakeholder communication skills and ability to collaborate across Data, Architecture, Product, and Engineering teams
• Data modelling skills and ability to develop a holistic view of different data scopes and business objectives before building
• Ability to work autonomously, make sound technical decisions, and document them clearly

Nice to have:

• Experience with data governance, lineage, and access-control practices in Databricks, including Unity Catalog
• Experience with payment or transaction data
• Experience working in distributed international teams

• Designing, building, testing, and deploying scalable data pipelines for reporting and analytics use cases
• Creating new, production-ready pipelines supporting priority reporting use cases
• Reviewing existing reporting pipelines and refactoring them to improve reliability, performance, maintainability, and observability
• Maintaining new and existing pipelines to ensure data assets are reliably delivered daily
• Collaborating with Data professionals, Data Architects, Product Managers, and Engineering Managers to translate reporting needs into technical solutions
• Contributing hands-on to onboarding Core Products data workloads onto the Data Platform
• Ensuring pipelines align with architecture, governance, security, and engineering standards of the Data Platform
• Ensuring compliance with platform standards for data modelling, code quality, testing, CI/CD, documentation, security, and monitoring
• Owning SRE practices for data pipelines and products
• Diagnosing data incidents and pipeline failures, identifying root causes, and implementing corrective actions
• Documenting data flows, dependencies, transformation logic, and operating procedures
• Ensuring clear documentation, monitoring, and operational ownership for maintainability and handover
• Sharing knowledge and engineering practices with the Core Products data team and contributing to its long-term autonomy