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Xebia sp. z o.o.

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Lead Data Platform Engineer

Summary

Lead a team to build and maintain scalable data platforms using GCP, BigQuery, Airflow, and Spark, while enabling self-service tools and CI/CD pipelines for data products.

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.

Your profile:

  • Strong commercial experience with Python development.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Practical experience with BigQuery and cloud-based data platforms.
  • Experience with Apache Airflow, preferably Cloud Composer.
  • Experience building platform engineering, developer tooling, or internal self-service solutions.
  • Knowledge of Infrastructure as Code practices and Terraform.
  • Experience with GitOps principles and modern software delivery practices.
  • Good understanding of data engineering concepts and Data Product lifecycle management.
  • Experience with PySpark and/or Apache Spark ecosystems.
  • Familiarity with FastAPI, Pydantic, and modern Python tooling.
  • Knowledge of CI/CD processes and source control best practices.
  • Experience working in Agile development environments.
  • Strong problem-solving skills and ability to work independently.
  • Effective communication skills and ability to collaborate with cross-functional teams.
  • Professional proficiency in Polish and English.

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

Nice to have:

  • Experience with Vertex AI or other GenAI platforms.
  • Hands-on experience with GitHub Copilot, Copilot extensions, plugins, or AI-assisted development solutions.
  • Experience developing Agentic AI workflows or AI automation capabilities.
  • Knowledge of Backstage plugin development.
  • Experience with Dataproc.
  • Familiarity with dbt and Kedro.
  • Experience with ArgoCD and Crossplane.
  • Experience building observability, telemetry, or platform analytics solutions.
  • Experience working in large-scale data environments supporting analytics and machine learning workloads.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

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