👉 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.