Senior Analytics Engineer (GCP)

Xebia is a global tech company with over 1,000 experts, originating from Polish companies PGS Software and GetInData. They deliver projects in cloud, data and software, working with clients from fintech, e-commerce, aviation, logistics, media, and fashion sectors. They use modern, open-source technology stacks and are trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS.

• Strong experience as Analytics Engineer / Data Engineer focusing on analytics layer
• Hands-on experience with dbt (or Dataform) and SQL-based transformations
• Experience with GCP stack (BigQuery, Cloud Storage, Composer/Airflow)
• Strong SQL skills and experience building data models (dimensional modeling, data marts)
• Experience working with modern data platforms / lakehouse architectures
• Understanding of data pipelines, ETL/ELT processes, and orchestration tools (Airflow/Dagster or similar)
• Experience with data validation, testing, and data quality frameworks
• Ability to work with stakeholders and translate business needs into data models
• Familiarity with data migration projects (replatforming, consolidation)
• Experience with CI/CD for data (e.g., Terraform, GitHub Actions, Cloud Build)
• Knowledge of data governance, cataloging, and lineage tools
• Exposure to streaming or near real-time data processing
• Familiarity with AI/ML or analytics enablement use cases
• Practical experience using AI-powered assistants (e.g., Claude Code, GitHub Copilot, Cursor) to improve productivity

Nice to have:

• Experience with Knowledge Catalog / data catalog tools
• Experience with BI tools (e.g., QuickSight or similar)
• Exposure to self-service data platforms
• Understanding of FinOps / cost optimization in cloud data platforms
• Experience in highly distributed enterprise environments

• Designing, building, and maintaining data models mainly in dbt/Dataform on BigQuery
• Developing and optimizing analytical datasets and data marts for business consumption
• Collaborating with data engineers and business stakeholders to translate requirements into scalable data solutions
• Implementing data transformation logic and ensuring data quality, testing, and validation
• Supporting migration of existing pipelines from AWS / Snowflake / Azure into GCP
• Working with ingestion pipelines (Pub/Sub, Datastream, Dataflow) and aligning with downstream reporting needs
• Contributing to governance, data cataloging, and lineage (Knowledge Catalog)
• Enabling self-service analytics through reusable models, templates, and standards
• Validating data consistency during migration and supporting cutover (parity versus legacy systems)
• Supporting BI layer (e.g., QuickSight) to ensure KPI consistency across domains
• Participating in establishing best practices for analytics engineering and data product development

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