Platform Engineer
About Xebia
Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.
Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.
Some small adjustments to focus more on the more important parts imo (Terraform, Devops)
We are seeking a highly skilled professional with expertise in both Azure Infrastructure as Code (IaC) using Terraform and Data Engineering to join our cloud data platform team. This hybrid role involves designing, deploying, and managing scalable data infrastructure on Azure while ensuring robust data pipeline development.
The ideal candidate will have hands-on experience creating and managing Azure resources using Terraform, with knowledge of VNETs, storage accounts, Azure Data Factory, Databricks, Key Vaults, and monitoring components. They will also design and optimize ETL/ELT pipelines, integrate structured and unstructured data sources, and enable real-time and batch data processing using services like Azure Data Factory, Azure Databricks, and Event Hubs.
Key responsibilities include automating infrastructure provisioning, enforcing security and governance through IaC, building resilient data pipelines, and supporting CI/CD practices using Git and DevOps tools. The candidate should be proficient in SQL, Python, and Spark, with familiarity in operational monitoring.
This role is ideal for someone who thrives in a dynamic environment, bridges infrastructure and data engineering needs, and can contribute to building next-gen, cloud-native data platforms. Azure certifications in Data Engineering and DevOps are preferred.
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