👉 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.