Data Engineer & Data Architecture Lead

About the role

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.

What you'll do

• Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments
• Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark
• Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms
• Architect scalable solutions leveraging the Azure Data Stack, while integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL
• Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization

What you need

• 6–10 years in data science & ai
• SQL
• Python
• ETL
• Azure Data Factory
• Databricks
• Spark
• Any graduate

Good to have

• AWS
• Airflow
• GCP
• SAP
• PostgreSQL
• Azure

What you get