👉 Azure Platform Engineer

🟣 You will be: • designing and implementing a cloud-based data platform using Microsoft Fabric, • 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, • collaborating closely with data, cloud, and architecture teams, • as an alternative stack, contributing to solutions based on Azure Databricks where applicable. 🟣 Your profile: • strong experience as a Platform Engineer / DevOps Engineer, • hands-on experience with Microsoft Azure (compute, networking, storage, security), • practical experience in building and operating data platforms (especially analytics-focused), • very good understanding of Microsoft Fabric or strong experience with Azure Databricks, • experience with infrastructure as code (e.g. Terraform), • knowledge of CI/CD pipelines and automation Good understanding of data concepts (data lakes, data warehouses, ETL/ELT, analytics workloads), • ability to work independently and take ownership of platform-related topics, • 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, quality, or decision-making in software delivery, • ready to join within 2 weeks, • upper intermediate/advanced English (B2/C1). 🟣 Nice to have: • experience with Microsoft Purview or data governance tools, • familiarity with FinOps / 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 in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, • 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 Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: • development budgets of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, • access to Udemy, O'Reilly (formerly Safari Books Online) and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • B2B or employment contract, • contract for an indefinite period.