Data & AI Senior Engineer

• Define, implement, and maintain engineering standards, frameworks, and best practices across Data & AI platforms.
• Support and guide engineering teams in the design, development, and operation of scalable and production-ready data solutions.
• Ensure alignment with enterprise Architecture, Security, Governance, and FinOps principles.
• Drive the adoption of modern Data & AI platform capabilities across Azure, Databricks, Microsoft Fabric, and related technologies.
• Establish and govern platform standards for data pipelines, data products, semantic models, access management, and lineage.
• Define and promote best practices for CI/CD, Infrastructure as Code, environment management, and platform operations.
• Collaborate with Architecture, Security, Governance, and delivery teams to ensure compliance with enterprise standards.
• Support platform modernization initiatives, including migration from legacy solutions to cloud-native architectures.
• Define standards for workspace organization, monitoring, observability, and operational excellence.
• Promote cost optimization and resource efficiency through FinOps practices and compute optimization strategies.
• Enable engineering teams through technical mentorship, guidance, and continuous improvement initiatives.
• Contribute to the evolution of the organization's Data & AI platform strategy and operating model.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

• 10+ years of experience in Data Engineering, Cloud Engineering, or Data & AI Platforms.
• Strong technical expertise in designing and implementing enterprise-scale data platforms and architectures.
• Proven experience with Microsoft Azure and modern Data & AI ecosystems.
• Hands-on experience with Azure Databricks, Microsoft Fabric, Microsoft Purview, Unity Catalog, and Power BI.
• Strong understanding of Data Lake, Lakehouse, and modern analytics architectures.
• Experience designing and implementing scalable data pipelines and data products.
• Solid knowledge of data governance, metadata management, lineage, data quality, and access control frameworks.
• Experience with DevOps and DataOps practices, including CI/CD, GitHub Actions, and Infrastructure as Code (Terraform).
• Strong understanding of environment lifecycle management across Development, Pre-Production, and Production environments.
• Experience defining standards for workspace management, monitoring, observability, and platform operations.
• Knowledge of FinOps principles, cloud cost optimization, and workload management.
• Experience supporting cloud migration and modernization initiatives.
• Strong stakeholder management, communication, and collaboration skills.
• Ability to balance hands-on technical work with governance and strategic platform thinking.Microsoft Azure, Fabric, Databricks, or related certifications are considered a plus.

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work life balance.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Access valuable training and certifications in cutting edge technologies.
• Engage in exciting national and international projects.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.