👉 Backend Data Engineer

🟣 You will be:

• implementing and supporting large-scale data pipeline migrations as part of company-wide platform evolution efforts,

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

• contributing to the development and evolution of a modern data processing stack, including streaming and batch processing platforms,

• working with technologies such as Flink-based platforms and Lakehouse architectures,

• supporting production-grade data pipelines used across the organization,

• collaborating closely with platform and infrastructure engineers in a fast-paced, execution-focused environment.

🟣 Your profile:

• strong hands-on experience in backend engineering,

• very good knowledge of Java, used in data platform or data engineering contexts, 

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

• solid understanding of SQL and experience working with cloud-based data analytics platforms, particularly BigQuery, 

• experience working with containerized applications and basic knowledge of Kubernetes,

• familiarity with cloud infrastructure as part of day-to-day DevOps work, 

• experience working with production-grade data pipelines,

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

• strong autonomy and ability to work effectively in an ambiguous environment without constant direction, 

• experience with data engineering pipelines written in Scala and/or Python, 

• previous exposure to platform-level engineering rather than only application-level development, 

• experience collaborating within large, distributed engineering teams,

• 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:

• prior experience with large-scale data pipeline migrations,

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

• experience working on or close to streaming platforms and Lakehouse-style architectures,

• 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.