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Salary
≈ $49k – $94k per year (Estimated)
Location
Hybrid (Warsaw, Wrocław, Poland)
Employment
Contractor

First seen by Alion on Oct 30, 2026. Xebia scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Xebia is an IT consulting, software engineering and training company founded in the Netherlands in 2001. It helps organisations with cloud, data and AI engineering, software development, agile transformation and security, and trains engineers through Xebia Academy. The group has grown through acquisitions into a network of offices in Europe, North America, India and the Middle East, with large teams in Amsterdam, Antwerp, Wroclaw and Gurgaon. The company is headquartered in Hilversum, Netherlands.

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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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:

  • build, configure, and maintain Databricks workspaces and platform services,

  • develop and maintain Infrastructure as Code solutions using Terraform,

  • implement and support deployment processes using Databricks Asset Bundles (DABs) or similar frameworks,

  • design, implement, and maintain CI/CD pipelines,

  • automate infrastructure provisioning, environment setup, and release management,

  • implement and maintain Unity Catalog and support enterprise data platform governance,

  • support platform qualification and validation activities, including automated generation of validation evidence,

  • support disaster recovery setup, resiliency improvements, and recovery testing,

  • implement and maintain data ingestion routes and supporting platform capabilities,

  • manage platform-related change control activities in line with documented processes,

  • provide operational support for the platform, including sandbox provisioning,

  • collaborate with platform, cloud, SRE, architecture, and engineering teams,

  • support knowledge transfer, platform handover, and operational transition activities.

Your profile:

  • hands-on experience with Databricks platform administration and engineering,

  • strong knowledge of Infrastructure as Code using Terraform,

  • experience with Databricks Asset Bundles (DABs) or similar deployment frameworks,

  • experience designing and maintaining CI/CD pipelines,

  • understanding of cloud platform operations and DevOps practices,

  • experience with platform automation, environment provisioning, and release management,

  • familiarity with disaster recovery, resiliency, and recovery testing,

  • experience working in enterprise-scale cloud environments,

  • ability to collaborate effectively with platform, cloud, SRE, and engineering teams,

  • strong problem-solving and communication skills,

  • ability to work in regulated environments with documented processes and change control,

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

Nice to have:

  • experience working in GxP-regulated environments,

  • experience supporting qualification and validation activities, including IQ/OQ,

  • knowledge of enterprise data platform governance practices,

  • experience implementing and maintaining Unity Catalog,

  • experience supporting large-scale data modernization programs,

  • exposure to AWS-based environments,

  • experience with platform handover and operational transition activities.

 

 

Recruitment Process:

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

Tech stack

  • Databricks
  • Terraform
  • Cloud
  • CI/CD
  • SRE
  • IQ/OQ
  • DABs
  • AWS
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