GCP Data Engineer

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company focused on turning AI strategy into production-ready solutions. It operates as a single global team with client-facing teams in the US and Europe, nearshore capacity in Poland and Latin America, and an offshore hub in India, creating a hybrid delivery model combining local expertise with global reach.

• Strong hands-on experience with BigQuery
• Solid experience with dbt (data transformations, modeling)
• Experience working with Kafka (streaming data pipelines)
• Strong skills in building data pipelines (batch and/or streaming)
• Very good knowledge of SQL
• Experience with cloud data platforms (preferably GCP)
• Understanding of data modeling concepts (DWH, ELT/ETL)
• Experience working in complex, multi-team environments
• Strong problem-solving skills and ownership mindset
• Good communication and collaboration skills
• Experience with data platform or data mesh concepts
• Familiarity with CI/CD for data workflows
• Knowledge of Python or Scala for data processing
• Experience with data quality / validation frameworks
• Understanding of data governance and security best practices
• Experience in cloud migration projects
• Familiarity with orchestration tools (e.g. Airflow, Cloud Composer)
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery

Nice to have:

• Experience with real-time analytics use cases
• Exposure to self-service data platforms / data products
• Knowledge of cost optimization in BigQuery

• Designing, building, and maintaining scalable data pipelines on GCP
• Developing and optimizing data models using BigQuery and dbt
• Building and managing real-time and batch data processing using Kafka
• Ensuring data quality, consistency, and reliability across pipelines
• Supporting migration of legacy data systems into modern cloud-based architecture
• Collaborating with Data Architects, Platform Engineers, and Analytics teams
• Enabling self-service data capabilities for internal consumers (data products mindset)
• Implementing monitoring, logging, and observability for data pipelines
• Optimizing performance and cost of data workloads in GCP
• Contributing to best practices in data governance and data engineering standards

Work from the European Union region and a work permit are required