👉 GCP Data Engineer

🟣 You will be:

• 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.

🟣 Your profile:

• 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,

• experience in large-scale enterprise transformations,

• GCP certifications (e.g. Professional Data Engineer),

• experience working in international distributed teams,

• experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,

• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

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

🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budget of up to 6,800 PLN,

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

• access to Udemy, Safari Books Online and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Library,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• flexible working hours,

• B2B or permanent contract,

• contract for an indefinite period.