Senior Azure Data Platform Engineer (DevOps)

About the position

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.

Responsibilities

• Collaborating with data scientists and software engineers to integrate (Gen)AI models into business applications, such as conversational chatbots and analytics.
• Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain.
• Implementing Azure Cognitive Services for natural language processing and other AI functionalities.
• Designing and managing efficient database schemas to meet application data requirements.
• Performing database tuning and query optimization to ensure high performance.
• Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Documenting data workflows, processes, and architectures.
• Ensuring that all data solutions adhere to security and compliance standards, including data encryption and access controls.

Requirements

• Proven experience with Microsoft Azure DevOps environment and services, including Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD.
• At least 3 + years experience in data engineering, with a focus on building and managing ETL pipelines in environments that utilize Oracle, PostgreSQL, and Azure Synapse.
• Hands-on experience with Kubernetes for container orchestration and management.
• Proficiency in using Jenkins and Nexus for continuous integration and continuous deployment (CI/CD) pipelines.
• Strong problem-solving and analytical skills, particularly in optimizing database performance and managing distributed systems.
• Good communication and collaboration skills, especially when working across cross-functional teams.
• Familiarity with Azure Cognitive Services and other AI/ML frameworks in cloud-based architectures.
• Solid understanding of DevOps practices, including container management, automated testing, and deployment processes.

Benefits

• Well-being culture: medical care with Medicover, private life insurance, and Multisport card.
• Capgemini Helpline offering therapeutical support.
• Access to over 70 training tracks with certification opportunities on the NEXT platform.
• Free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life with a home office package including laptop, monitor, and chair.