Senior GCP Data Engineer

🟣 You will be:

• designing, implementing, and migrating large-scale data pipelines to GCP, with BigQuery as a core analytics layer,

• building and maintaining production-grade batch and streaming data pipelines

• validating performance, reliability, scalability, and cost efficiency of migrated workloads,

• actively contributing to the evolution of a modern data processing stack (cloud-native, scalable, and observable),

• working closely with platform and infrastructure engineers on shared data foundations,

• supporting and improving data platform components used across multiple teams and business domains,

• taking ownership of delivered solutions and ensuring they meet real production requirements.

🟣 Your profile:

• strong hands-on experience in Data Engineering or backend engineering with a clear data focus,

• very good knowledge of Java, used in data-intensive or platform-related contexts

• solid experience with GCP, especially BigQuery, in real production environments,

• very good understanding of SQL and analytical data modeling,

• practical experience with at least one data processing framework (e.g. Beam, Dataflow, Spark, Flink),

• experience building and operating production-grade data pipelines (batch and/or streaming),

• familiarity with containerized applications and basic Kubernetes concepts,

• understanding of cloud infrastructure and DevOps practices as part of daily engineering work,

• ability to write high-quality, maintainable code and deliver reliably to production,

• high level of autonomy, ownership, and ability to work effectively in ambiguous environments,

• experience with platform engineering or building shared data/platform capabilities,

• exposure to Scala and/or Python in data engineering pipelines,

• experience working in large, distributed engineering organizations,

• understanding of data platform observability, monitoring, and operational aspects,

• 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 Apache Flink (especially in streaming use cases),

• previous involvement in large-scale data pipeline migrations,

• familiarity with cost optimization for cloud-based data processing workloads,

• experience with Lakehouse-style architectures and modern data platforms,

• 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.