Data Domain

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-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.

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 run events like the Data&AI Warsaw Summit, 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.

Please note that we are currently looking to expand our talent pool for future opportunities within the Data industry. While we may not have an immediate project for you at the moment, we are proactively recruiting to ensure that we have the right expertise when new projects arise. We will contact you when a potential project matching your skills and experience becomes available. Thank you for your interest in joining our team. 

• designing, building, and optimizing scalable data or platform solutions supporting analytics, machine learning, and high-performing distributed systems,

• creating reliable pipelines, services, or architectures that ensure data availability, quality, security, and observability across the organization,

• collaborating with cross-functional teams (Data, ML, Software, Infrastructure) to deliver end-to-end solutions,

• contributing to architectural decisions and advancing the overall technical strategy of the platform,

• driving automation, standardization, and best practices within cloud environments,

• exploring emerging technologies and introducing improvements to enhance performance, reliability, and developer experience,

• owning solutions from concept to deployment, ensuring scalability, maintainability, and operational excellence.

• professional experience in at least one of the following areas: Data Engineering, AI / ML, Platform Engineering, Cloud Architecture,

• strong cloud experience with any of the major providers (AWS, Azure, or GCP),

• solid programming skills (Python, Java, Scala, or other relevant languages) and strong SQL capabilities,

• hands-on experience with modern data and platform technologies, such as:

  • Data/Processing: Spark, Databricks, Snowflake, BigQuery, Kafka/Kinesis, Flink, dbt

  • Orchestration/Automation: Airflow, Dagster, Prefect, CI/CD tools

  • AI / ML: MLflow, VertexAI, Sagemaker, LLMs, RAGs, etc.

  • Platform: Kubernetes, Terraform, IaC, distributed systems design

• strong understanding of cloud-native architecture, security, and reliability principles,

• experience working with large-scale systems and optimizing performance in distributed environments,

• a proactive mindset: ownership, curiosity, and the ability to advise and challenge existing solutions,

• bonus: exposure to data governance, data mesh, platform observability tools, or architecting internal platforms.

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

CV review – HR call – Technical Interview – Client Interview – Hiring Manager Interview - Decision

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