Senior Data & AI Platform Engineer (Azure)

Capgemini Engineering; Porto; Híbrido; EUR 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Hybrid work arrangements

Referral program with bonuses

Great office locations

Resumo da oferta

Capgemini Engineering is seeking a seasoned Data & AI Platform Lead to shape and operate enterprise-scale data platforms. You will drive standards, enable scalable data solutions, and align with governance and FinOps principles across Azure, Databricks, and Fabric ecosystems.

The role balances hands-on engineering with strategic platform thinking, supporting modern data architectures, migration from legacy systems, and cost optimization initiatives.

Qualificações

• 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.

Responsabilidades

• 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 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\u2019s Data & AI platform strategy and operating model.

Conhecimentos

Data engineering

Cloud engineering

Governance

Stakeholder management

Communication

Platform thinking

Ferramentas

Azure Databricks

Microsoft Fabric

Power BI

Purview

Unity Catalog

GitHub Actions

Terraform

Descrição da oferta de emprego

Capgemini Engineering is seeking a seasoned Data & AI Platform Lead to shape and operate enterprise-scale data platforms. You will drive standards, enable scalable data solutions, and align with governance and FinOps principles across Azure, Databricks, and Fabric ecosystems.

The role balances hands-on engineering with strategic platform thinking, supporting modern data architectures, migration from legacy systems, and cost optimization initiatives.