DataEngineerwithDatabricks

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. You will be: build, maintain, and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing, integrate data from multiple internal and external sources into the organization’s analytical platform, maintain, enhance, and support the analytical database and the surrounding data ecosystem, collaborate with business stakeholders and cross-functional teams to deliver data products that meet business needs and timelines, identify technical debt and continuously improve platform reliability, maintainability, and performance, build and manage Databricks Workflows for large-scale data orchestration, develop, deploy, and maintain PyFunc models within production environments, implement secure secrets and configuration management using Azure Key Vault, automate data flows and business processes using Azure Logic Apps, design, develop, and optimize ETL and ELT pipelines following data engineering best practices, govern and manage data assets using Unity Catalog and Data Lakehouse princi