Data Platform Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Role Summary

We are seeking a Platform Engineer to design, build, and support scalable, secure, cloud‑native data platforms on Microsoft Azure. The role involves strong hands‑on work with Kubernetes, data platforms, automation, and DevOps, along with exposure to modern AI‑enabled ecosystems.

Key Responsibilities

Design, build, and maintain cloud‑native data platforms

Automate infrastructure and operational tasks using Linux, Python, and Shell scripting

Build, manage, and optimize Docker images and containerized workloads

Deploy, operate, and troubleshoot workloads on Kubernetes (AKS or equivalent)

Support and optimize Apache Spark and Apache Iceberg‑based data platforms

Work with DataHub, Trino, and Apache Ranger for metadata, query, and governance use cases

Implement and maintain Azure CI/CD pipelines

Ensure secure platform access using TLS/SSL, OAuth, and HashiCorp Vault

Configure and manage Azure services including Blob Storage, Virtual Machines, VNETs, and AKS

Implement and manage NGINX Ingress Controllers and firewall rules

Monitor platforms using Prometheus and Grafana

Provide production support including troubleshooting, incident resolution, and performance tuning

Ensure adherence to enterprise change management and release processes

Required Skills and Experience

Strong experience with cloud‑native platforms on Microsoft Azure

Hands‑on expertise in Linux, Python, and Shell scripting

Solid experience with Docker and Kubernetes (AKS preferred)

Experience supporting Apache Spark workloads in production environments

Working knowledge of Iceberg, Trino, DataHub, and Ranger

Experience with Azure DevOps and CI/CD pipelines

Good understanding of platform security, identity, and secrets management

Experience with monitoring and observability tools

Preferred Skills

Experience with Databricks

Knowledge or experience in Generative AI (Gen AI) platforms

Exposure to Agentic AI concepts and architectures

Experience working in large enterprise or regulated environments

Soft Skills

Strong problem‑solving and troubleshooting abilities

Ability to work effectively with cross‑functional teams

Good communication and documentation skills

Ownership mindset with a focus on reliability and continuous improvement

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com