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Xebia

Backend Data Engineer

Posted 6 Days Ago
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Easy Apply
Remote
Hiring Remotely in Poland
Senior level
Easy Apply
Remote
Hiring Remotely in Poland
Senior level
Design and operate scalable Java-based backend services, develop APIs, build data pipelines, and collaborate with cross-functional teams for personalized solutions.
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Hello, let’s meet!

Who We Are

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, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.


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.

Work from the European Union region and a work permit are required.

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.
Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision


Top Skills

AWS
BigQuery
Bigtable
GCP
Grpc
Java

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