Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:- Designing and developing tools that standardize, automate, and simplify Data Platform operations.
- Building and maintaining internal CLI tools for common platform and Data Product management tasks.
- Developing and evolving Data Product templates based on modern data engineering practices.
- Designing and implementing visualizations and operational insights within Backstage.
- Collecting and analyzing platform usage metrics, audit data, and adoption statistics.
- Designing and implementing Agentic AI workflows and developer-assistance capabilities.
- Developing reusable AI skills and automation components that standardize work with data products and data assets.
- Creataing mechanisms for distribution, lifecycle management, and monitoring of AI skills.
- Maintaining and enhancing a shared Apache Airflow platform based on Cloud Composer.
- Building reusable libraries, operators, and common components for Airflow DAG development.
- Developing and maintaining infrastructure-as-code assets and Terraform modules.
- Contributing to GitOps adoption initiatives using tools such as Backstage, GitHub, ArgoCD, and Crossplane.
- Collaborating with platform, data engineering, analytics, and machine learning teams to improve platform usability and engineering efficiency.
- 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.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- Commercial Python development experience
- 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 (Git)
- 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 valid work permit
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
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Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
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Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
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Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
