👉 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.