Data Engineer (Databricks)

Posted Yesterday
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Hiring Remotely in Poland
Remote
Mid level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
The Data Engineer will design, build, and maintain data pipelines, manage workflows using Apache Airflow, troubleshoot incidents, and collaborate on data delivery and validation processes.
Summary Generated by Built In

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, building, and maintaining end-to-end data pipelines for client-facing measurement reports and licensed datasets,
  • operating and troubleshooting Apache Airflow DAGs supporting scheduled and on-demand data deliveries,
  • managing push-based delivery workflows (cloud storage, file transfers, delivery verification) Investigating and resolving production incidents across distributed systems (Airflow, databases, cloud storage),
  • implementing automation and AI-driven agents to streamline operational processes and data validation,
  • supporting custom delivery requests, including matching files, cross-reference datasets, and bespoke client configurations,
  • developing data quality and validation tooling to ensure accuracy before client delivery,
  • writing and maintaining database migrations for delivery configurations and client setups,
  • collaborating with product, engineering, measurement science, and client-facing teams,
  • documenting operational processes, runbooks, and delivery workflows.

Your profile:
  • 2–4+ years of professional experience in Data Engineering, Software Engineering, or Operational Engineering,
  • experience with Databricks and PySpark for large-scale data processing,
  • strong proficiency in Python, including building and debugging data pipelines and automation scripts,
  • hands-on experience with Apache Airflow (DAG development, operators, troubleshooting),
  • very good knowledge of SQL, including complex joins, window functions, and JSON-based data,
  • experience working with cloud platforms (AWS and/or GCP),
  • upper-intermediate English,
  • readiness to work in a hybrid setup (in the Warsaw office once per week).

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

Nice to have:
  • experience with Unity Catalog,
  • experience with database migrations and schema/version management,
  • comfort working in environments with frequent production support and delivery deadlines,
  • experience building agentic or AI-driven automation workflows.
Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision


Skills Required

  • 2-4+ years of professional experience in Data Engineering, Software Engineering, or Operational Engineering
  • Experience with Databricks and PySpark for large-scale data processing
  • Strong proficiency in Python, including building and debugging data pipelines and automation scripts
  • Hands-on experience with Apache Airflow (DAG development, operators, troubleshooting)
  • Very good knowledge of SQL, including complex joins, window functions, and JSON-based data
  • Experience working with cloud platforms (AWS and/or GCP)
  • Upper-intermediate English
  • Readiness to work in a hybrid setup
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The Company
HQ: Atlanta, GA
3,254 Employees
Year Founded: 2001

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]

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