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, developing, and maintaining scalable batch and real-time data pipelines,
- building ELT workflows and data transformations using Python, SQL, and dbt,
- developing and maintaining cloud-based data infrastructure on AWS, including S3, Glue, Lambda, and Redshift,
- implementing data orchestration and scheduling using Apache Airflow or Amazon MWAA,
- working with streaming and big data technologies such as Kafka, Spark, and Apache NiFi,
- ensuring the reliability, performance, scalability, and quality of production data pipelines,
- collaborating with data architects, product teams, analysts, IT teams, and business stakeholders to deliver scalable data solutions,
- contributing to data security, governance, monitoring, automation, and continuous improvement,
- participating in a scheduled on-call rotation to support the reliability of the data platform.
Your profile:
- 3+ years of professional experience in data engineering or a related technical role,
- hands-on experience with AWS and cloud-based data platforms,
- strong SQL and data modelling skills,
- experience with production-scale data warehouses such as Amazon Redshift, Snowflake, or BigQuery,
- proven experience with Python, dbt, and Apache Airflow,
- familiarity with Kafka, Spark, and Apache NiFi,
- experience with Docker and Kubernetes,
- strong analytical, problem-solving, communication, and collaboration skills,
- comfortable working with large and complex datasets in production environments,
- excellent English skills and being able to communicate effectively with international teams,
- a proactive mindset and being focused on continuous improvement.
Work from the European Union region and a work permit are required.
Recruitment Process:CV review – HR call – Interview – Client Interview – Decision
Skills Required
- 3+ years of professional experience in data engineering or a related technical role
- Hands-on experience with AWS and cloud-based data platforms
- Strong SQL and data modeling skills
- Experience with production-scale data warehouses such as Amazon Redshift, Snowflake, or BigQuery
- Proven experience with Python, dbt, and Apache Airflow
- Familiarity with Kafka, Spark, and Apache NiFi
- Experience with Docker and Kubernetes
- Strong analytical, problem-solving, communication, and collaboration skills
- Ability to work with large and complex datasets in production environments
- Excellent English communication skills for international teams
- Proactive mindset and focus on continuous improvement
- 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]
