Senior Analytics Engineer (GCP)

Xebia sp. z o.o. is the employer offering this role. The job locations include Wrocław, Rzeszów, and Gdańsk, Poland. The role involves working with cloud data platforms, specifically Google Cloud Platform (GCP), including BigQuery, Dataform/dbt, and related services.

• Strong experience as Analytics Engineer or Data Engineer with focus 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 with modern data platforms and lakehouse architectures
• Understanding of data pipelines, ETL/ELT processes, and orchestration tools like Airflow or Dagster
• 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 including replatforming and 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 and software delivery quality

Nice to have:

• Experience with Knowledge Catalog and other data catalog tools
• Experience with BI tools like QuickSight or similar
• Exposure to self-service data platforms
• Understanding of FinOps and cost optimization in cloud data platforms
• Experience in highly distributed enterprise environments

• Designing, building, and maintaining data models mainly in dbt/Dataform on top of BigQuery
• Developing and optimizing analytical datasets and data marts
• 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 ensuring alignment 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 with parity vs legacy systems
• Supporting BI layer (e.g., QuickSight) and ensuring consistency of KPIs 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. Candidates must have an active VAT status in the EU VIES registry.