Azure Platform Engineer

Czym będziesz się zajmować?

  • Participate in discovery workshops and technical assessments of existing data platform environments.
  • Define platform requirements and contribute to migration strategy and roadmap planning.
  • Design target-state architecture with Data Engineers, Architects, and business stakeholders.
  • Support migration of data workloads, pipelines, and platform services to Azure, Databricks, and Microsoft Fabric.
  • Build and manage cloud infrastructure using Terraform and Infrastructure as Code practices.
  • Design, deploy, and maintain Kubernetes-based platform environments.
  • Develop CI/CD pipelines for automated provisioning, deployment, and operations.
  • Implement security, governance, identity management, access control, monitoring, observability, and alerting standards.
  • Optimize platform reliability, scalability, performance, and cost efficiency.
  • Produce technical documentation and provide technical leadership during migration.


Kogo poszukujemy?

Key requirements:
  • Strong hands-on experience with Microsoft Azure.
  • Experience with Databricks and/or Microsoft Fabric.
  • Understanding of modern data platform architectures and data engineering ecosystems.
  • Strong Terraform and Infrastructure as Code experience.
  • Experience managing enterprise cloud infrastructure and Kubernetes platform operations.
  • Strong Python development skills for automation tools and operational utilities.
  • Experience with CI/CD pipelines, deployment automation, platform engineering, and DevOps practices.
  • Knowledge of cloud security, governance, compliance, identity management, access controls, and auditing.
  • Strong communication, documentation, and stakeholder management skills.
  • Permission to work from the European Union region is required.
Nice to have:
  • Microsoft Fabric implementation experience.
  • Experience with large-scale data platform modernization or migration programs.
  • Databricks administration, monitoring, performance tuning, and optimization.
  • Experience with observability, monitoring, alerting, data governance, dbt, Apache Airflow, and FinOps practices.
  • Experience supporting platform adoption and engineering enablement across multiple teams.


Czego wymagamy?

2 lata doświadczenia na podobnym stanowisku
Znajomości:
  • Azure
  • Terraform
  • Kubernetes
  • IaC
  • Python
  • CI/CD
  • Databricks
  • MS Fabric
  • Data architecture
  • Cloud security
  • IAM
  • DevOps
Języki:
  • Angielski


Jakie warunki i benefity otrzymasz?
  • 23.5k–30.2k PLN netto/m (B2B)
  • B2B - Elastyczne godziny pracy (100%)
  • Praca zdalna: W całości


Kim jesteśmy?

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver.

Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network.

The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business.

With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

See also

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