👉 Azure Platform Engineer

🟣 You will be:

• 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 (incl. cross-cloud and on-prem), 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 (the main external stakeholder),

• supporting the evolution of the platform towards AI-ready data serving, including potential semantic layer components where applicable.

🟣 Your profile:

• ready to join within 2 weeks,

• 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),

• strong hands-on experience with Azure Databricks, including platform foundations (workspace setup, connectivity, security/identity, cluster policies, automation),

• prior experience with Microsoft Fabric, or at least strong working knowledge (the target architecture includes Fabric components),

• 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,

• experience enabling ingestion from a wide variety of sources, including Autodesk Construction Cloud (ACC), Google Drive, SharePoint, Dataverse, Amazon S3, and on-prem file shares, including handling authentication and network/security constraints (e.g., private connectivity, proxies, IP allowlists),

• 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.

• 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.