👉 Senior Analytics Engineer (GCP)
⚲ Wrocław, Rzeszów, Gdańsk
21 500 - 31 500 PLN netto (B2B)
Wymagania
- DBT
- SQL
- GCP
- BigQuery
Opis stanowiska
🟣 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.
• 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.
🔍 Dekoder Ogłoszenia
🔴
collaborating with data engineers and business stakeholders to translate requirements into scalable data solutions
Może oznaczać, że będziesz musiał tłumaczyć skomplikowane wymagania biznesowe na język techniczny, a także zarządzać oczekiwaniami interesariuszy.
🔴
supporting migration of existing pipelines from AWS / Snowflake / Azure into GCP
Może oznaczać, że będziesz musiał pracować z przestarzałymi systemami i rozwiązywać problemy związane z migracją, co może być czasochłonne i frustrujące.
🔴
contributing to governance, data cataloging, and lineage (Knowledge Catalog)
Może oznaczać, że będziesz musiał poświęcić dużo czasu na dokumentację i zarządzanie metadanymi, co nie zawsze jest ekscytującą częścią pracy.
🟡
enabling self-service analytics through reusable models, templates, and standards
Może oznaczać, że będziesz odpowiedzialny za tworzenie narzędzi i procesów, które pozwolą innym użytkownikom na samodzielne analizowanie danych, co wymaga dobrej komunikacji i szkoleń.
🟡
participating in establishing best practices for analytics engineering and data product development
Może oznaczać, że będziesz miał wpływ na kształtowanie procesów i technologii, ale też będziesz musiał przekonywać innych do nowych rozwiązań.