👉 Senior Platform Engineer
🟣 You will be:
seting up and configuring the data platform infrastructure in Azure and Databricks,
designing and implementing CI CD and deployment pipelines for data workloads,
establishing and managing environments (dev, test, prod),
building and maintaining orchestration and scheduling mechanisms for data pipelines,
ensuring platform scalability, reliability, and performance,
collaborating closely with Data Engineers and Architects on platform design decisions,
supporting automation and standardization of data platform operations.
We are looking for a Senior Platform Engineer to support an engagement focused on building and stabilizing a data platform on Azure and Databricks, integrating data from CRM systems such as Salesforce. The role focuses on infrastructure setup, environment management, CI CD, and ensuring the reliability of the platform supporting data engineering and analytics workflows.
🟣 Your profile:
proven experience as a Platform Engineer, DevOps Engineer, or Data Platform Engineer,
strong experience with Azure cloud Hands on experience with Databricks,
experience with CI CD pipelines and infrastructure as code,
experience working with data platforms (not only application infrastructure),
understanding of distributed data processing environments,
experience with orchestration tools or workflow engines (for example Argo or similar),
experience supporting data pipelines and ingestion frameworks,
knowledge of containerization and platform tooling (for example Docker, Kubernetes),
experience setting up monitoring, logging, and alerting for data platforms,
ability to work in integration heavy environments,
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
🟣 Nice to have:
experience with Salesforce or CRM based data ecosystems,
knowledge of security, governance, and access control mechanisms in cloud data platforms,
experience with performance optimization in distributed environments,
experience in enterprise or regulated industries,
certifications related to Azure or Databricks,
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.
Work from the European Union region and a work permit are required.
🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision
🎁 Benefits 🎁
✍ Development:
development budget of up to 6,800 PLN,
we fund certifications e.g.: AWS, Azure, ISTQB, PSM,
access to Udemy, Safari Books Online and more,
events and technology conferences,
technology Guilds,
internal training,
Xebia Library,
Xebia Upskill.
🩺 We take care of your health:
private medical healthcare,
multiSport card - we subsidise a MultiSport card,
mental Health Support.
🤸♂️ We are flexible:
flexible working hours,
B2B or permanent contract,
contract for an indefinite period.

Xebia sp. z o.o.
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 product...👉 Senior Platform Engineer
👉 Senior Platform Engineer