Azure Data Platform Engineer

Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. 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. 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. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision Work from the European Union region and a work permit are required. Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies