Azure Platform Engineer

Xebia is a global tech company with over 1,000 experts delivering cloud, data, and software solutions. The company originated from two Polish companies, PGS Software and GetInData, and serves clients across various industries including fintech, e-commerce, aviation, logistics, media, and fashion. Xebia partners with Databricks, dbt, Snowflake, Azure, GCP, and AWS, and supports tech communities through meetups and personal development programs.

• Ready to join within 2 weeks
• Strong experience as a Platform Engineer or DevOps Engineer
• Hands-on experience with Microsoft Azure (compute, networking, storage, security)
• Practical experience in building and operating data platforms, especially analytics-focused
• Strong hands-on experience with Azure Databricks, including workspace setup, connectivity, security/identity, cluster policies, and automation
• Prior experience with Microsoft Fabric or strong working knowledge
• Experience with infrastructure as code (e.g., Terraform)
• Knowledge of CI/CD pipelines and automation
• Good understanding of data concepts including data lakes, data warehouses, ETL/ELT, and analytics workloads
• Ability to work independently and take ownership of platform-related topics
• Experience enabling ingestion from various sources including Autodesk Construction Cloud, Google Drive, SharePoint, Dataverse, Amazon S3, and on-prem file shares, handling authentication and network/security constraints
• Knowledge of monitoring, logging, and alerting in cloud environments
• Understanding of security and governance in data platforms
• Practical experience using AI-powered assistants (e.g., Claude Code, GitHub Copilot, Cursor) to improve productivity and quality in software delivery
• Upper intermediate/advanced English (B2/C1)
• Work from the European Union region and a work permit are required

Nice to have:

• Experience with Microsoft Purview or data governance tools
• Familiarity with FinOps and cost optimization in Azure
• Background in supporting data engineering or analytics teams
• Experience working in international or distributed teams
• Experience working in enterprise-scale environments
• Experience applying GenAI within the SDLC including workflows, prompt patterns, or tool integrations
• Interest in emerging AI-driven practices such as agent-based workflows, automation patterns, and AI-augmented development

• Designing and implementing a cloud-based data platform in Azure, centered on Azure Databricks and integrating Fabric components where planned
• Building and maintaining platform components, CI/CD pipelines, and infrastructure as code
• Supporting data engineers, analysts, and data scientists by providing stable and scalable platform services
• Ensuring security, monitoring, cost optimization, and operational best practices
• Designing and implementing secure connectivity and ingestion patterns from heterogeneous and unusual sources, including cross-cloud and on-premises, often under enterprise network/security constraints
• Working as part of the core delivery team, collaborating closely with data, cloud, and architecture colleagues, and aligning interfaces/requirements with the AI consumption team
• Supporting the evolution of the platform towards AI-ready data serving, including potential semantic layer components where applicable

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