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Posted 2 h ago
Databricks Platform Engineer
Posted by Xebia on 21 October 2026. Still on their Greenhouse board when we checked 56 min ago. Half of Xebia's roles come down within 30 days.
What the posting is about
Build, configure, and maintain Databricks workspaces. Develop and maintain Infrastructure as Code using Terraform. Implement and support deployment processes. Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning and release management. Implement and maintain Unity Catalog and support enterprise data platform governance. Collaborate with cross-functional teams to provide operational support for the platform.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentFull time
LocationPoland
RemoteNot stated
Visa sponsorshipNo
SalaryNot published, and most postings do not
Posted2026-10-21
Found viagreenhouse, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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
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