Backend Data Engineer

 

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:

• 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.

 

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

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 p