👉 Senior Analytics Engineer (GCP)

🟣 You will be:

• designing, building and maintaining data models (mainly in dbt/Dataform) on top of 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 ensure 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 ensure 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 support cutover (parity vs legacy systems),

• supporting BI layer (e.g. QuickSight) and ensure consistency of KPIs across domains,

• participating in establishing best practices for analytics engineering and data product development.
  

🟣 Your profile:

• strong experience as Analytics Engineer / 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 working with modern data platforms / lakehouse architectures,

• understanding of data pipelines, ETL/ELT processes, and orchestration (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, quality, or decision-making in software delivery.
  

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

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

🟣 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.

🟣 Recruitment Process:

CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure,

• access to Udemy, O'Reilly (formerly Safari Books Online) and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,

• contract for an indefinite period.