Azure Data Platform Engineer

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 products, platforms, and data-driven solutions.

You will be:

• Participating in discovery workshops and technical assessments of the existing data platform environment.
• Defining platform requirements and contribute to migration strategy and roadmap planning.
• Collaborating with Data Engineers, Architects, and business stakeholders to design target-state architecture.
• Supporting migration of data workloads, pipelines, and platform services to Azure, Databricks, and/or Microsoft Fabric.
• Building and managing cloud infrastructure using Infrastructure as Code (IaC) practices with Terraform.
• Designing, deploying, and maintaining Kubernetes-based platform environments.
• Developing and maintaining CI/CD pipelines for automated provisioning, deployment, and operations.
• Implementing security, governance, identity management, and access control standards.
• Establishing monitoring, observability, alerting, and operational processes.
• Optimizing reliability, scalability, performance, and cost efficiency of the platform.
• Producing technical documentation, standards, and operational procedures.
• Providing technical leadership and guidance to engineering teams throughout the migration journey.

Your profile:

• Strong hands-on experience with Microsoft Azure.
• Experience with Databricks and/or Microsoft Fabric.
• Good understanding of modern data platform architectures and data engineering ecosystems.
• Strong experience with Terraform and Infrastructure as Code (IaC) practices.
• Experience building and managing cloud infrastructure in enterprise environments.
• Hands-on experience with Kubernetes administration and platform operations.
• Strong Python development skills with experience building automation tools and operational utilities.
• Experience implementing and maintaining CI/CD pipelines and deployment automation.
• Solid understanding of platform engineering and DevOps best practices.
• Knowledge of cloud security principles, governance frameworks, and compliance requirements.
• Experience implementing identity and access management, security controls, auditing, and access governance.
• Understanding of data platform security, operational governance, and reliability best practices.
• Experience collaborating with Data Engineers, Architects, and cross-functional stakeholders.
• Strong communication, documentation, and stakeholder management skills.

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

Nice to have:

• Hands-on experience delivering Microsoft Fabric implementations.
• Experience with large-scale data platform modernization or migration programs.
• Databricks administration, monitoring, performance tuning, and optimization.
• Experience with observability, monitoring, and alerting platforms.
• Familiarity with data governance tools and frameworks.
• Experience with dbt, Apache Airflow, or other modern data platform technologies.
• Exposure to FinOps practices and cloud cost optimization initiatives.
• Experience supporting platform adoption and engineering enablement across multiple teams.