👉 Backend Data Engineer
🟣 You will be:
designing, building, and operating scalable Java-based backend services supporting subscription and merchandising platforms,
developing APIs and backend systems that enable personalized and data-driven conversion experiences,
collaborating closely with product managers, data scientists, and other engineers to solve complex, business-critical problems,
building and improving data pipelines that support experimentation, heuristics, and machine learning use cases,
contributing to architectural decisions with a focus on scalability, reliability, and long-term maintainability,
owning services end-to-end in production, including monitoring, observability, and continuous improvement,
participating in code reviews and knowledge sharing to strengthen team-wide engineering standards.
🟣 Your profile:
5+ years of professional experience in backend development using Java,
strong computer science fundamentals, including data structures, algorithms, and distributed systems,
hands-on experience designing and operating cloud-native services (e.g. GCP or AWS),
experience building and maintaining high-traffic, production-grade systems,
solid understanding of reliability, observability, and performance in distributed environments,
experience designing and consuming APIs and translating business needs into technical solutions,
strong collaboration skills and ability to take ownership from concept through delivery,
experience working with distributed systems at global scale,
familiarity with data pipelines and systems supporting experimentation or analytics,
experience working in cross-functional teams with product and data stakeholders,
exposure to service-oriented or microservice architectures,
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 gRPC,
hands-on knowledge of Google Cloud Platform services such as BigQuery or Bigtable,
experience with CMS integrations,
exposure to machine learning–driven systems or personalization platforms,
background in experimentation frameworks, heuristics, or decision engines,
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.

Xebia sp. z o.o.
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, in Poland, we’re...
👉 Backend Data Engineer
👉 Backend Data Engineer