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. 

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.  

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 

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.