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 join a central data platform / analytics team responsible for building and scaling batch data pipelines powering BI, reporting and machine learning use cases. The environment is cloud-based with a modern data stack (warehouse + transformation layer) and high focus on data quality and governance.
You will be:
Design, build and maintain scalable batch data pipelines
Develop and optimize ETL/ELT processes using SQL-first approach
Model and transform data into clean, consumable datasets (analytics-ready)
Ensure data quality, lineage, governance and observability across pipelines
Own data warehouse transformations and semantic layers (e.g. dbt)
Collaborate with product, analytics and data science teams to deliver datasets
Monitor, debug and optimize data processing jobs
Drive engineering standards, code reviews and best practices
5+ years of experience in Data Engineering
Strong SQL skills and experience with relational and analytical databases
Proven experience building batch data pipelines (ETL/ELT)
Experience with modern data stack (e.g. dbt, Airflow or similar orchestration tools)
Hands-on experience with AWS
Solid understanding of data modeling (dimensional modeling, DWH concepts)
Experience ensuring data quality and building reliable pipelines
Should have
- Experience with large-scale data processing (Spark or similar)
- Familiarity with data governance, lineage and observability tools
- Experience working with BI tools and analytics use cases
- Experience working in cross-functional teams (Product / Analytics / DS)
- Exposure to CI/CD for data pipelines
- 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.
- Experience with lakehouse architectures (Delta, Iceberg, etc.)
Knowledge of cost optimization in batch data workloads
Exposure to real-time or event-driven architectures
Experience mentoring or leading other engineers Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
- 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 – Interview – Client Interview – Decision
Skills Required
- 5+ years of experience in Data Engineering
- Strong SQL skills and experience with relational and analytical databases
- Proven experience building batch data pipelines (ETL/ELT)
- Experience with modern data stack (e.g. dbt, Airflow or similar orchestration tools)
- Hands-on experience with AWS
- Solid understanding of data modeling (dimensional modeling, DWH concepts)
- Experience ensuring data quality and building reliable pipelines
- Experience with large-scale data processing (Spark or similar)
- Familiarity with data governance, lineage and observability tools
- Experience working with BI tools and analytics use cases
- Experience working in cross-functional teams (Product / Analytics / Data Science)
- Exposure to CI/CD for data pipelines
- Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) in software delivery
- Work from the European Union region and a work permit are required
- Experience with lakehouse architectures (Delta, Iceberg, etc.)
- Knowledge of cost optimization in batch data workloads
- Exposure to real-time or event-driven architectures
- Experience mentoring or leading other engineers
- Experience applying GenAI in structured SDLC workflows and prompt patterns
- Interest in emerging AI-driven practices (agent-based workflows, AI-augmented development)
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]
