Senior Data Engineer - Cloud Data Platform

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:

• designing and building a modern cloud-native data platform based on Snowflake, dbt, Fivetran, and AWS,
• migrating legacy SQL Server, SSIS, and SSAS solutions to a scalable cloud data ecosystem,
• developing and optimizing ELT pipelines and data transformation processes,
• creating high-performance data models and optimizing SQL queries for enterprise-scale workloads,
• implementing data quality, governance, monitoring, and lineage best practices,
• automating data engineering workflows using Git and CI/CD pipelines,
• collaborating with architects, business stakeholders, and global engineering teams to deliver scalable analytics solutions,
• supporting the evolution of the data platform to enable advanced analytics and future AI-driven use cases,
• working in an international environment with distributed teams across Europe, the US, and India,

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• contributing to technical decisions and driving engineering best practices across the platform.

Your profile:

• 5+ years of commercial experience in Data Engineering,
• strong hands-on experience with Snowflake,
• excellent SQL skills, including query optimization and data warehouse design,
• hands-on experience with dbt,
• experience migrating legacy ETL and enterprise data warehouse solutions to modern cloud platforms,
• practical experience with Fivetran or similar cloud data ingestion tools,
• experience working with AWS services related to modern data platforms,
• knowledge of Git-based development workflows and CI/CD practices,
• understanding of data governance, data lineage, monitoring, and data quality concepts,
• ability to work independently and take ownership of technical solutions,
• experience working in global delivery environments across multiple time zones,
• excellent communication and collaboration skills in multicultural teams,

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• willingness to work until approximately 6:00–6:30 PM CEST to overlap with US-based teams,
• readiness to travel occasionally to the client's office in Washington, DC,
• very good command of English (written and spoken).
• Work from the European Union region and a work permit are required.

Nice to have:

• experience in financial services, investment, banking, or other regulated industries,
• experience with Sigma Analytics,
• Snowflake certification,
• experience designing enterprise-scale cloud data platforms,
• familiarity with modern analytics and AI-ready data architectures.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision