At Capgemini Engineering, the world leader in engineering services, we bring together a integral team of engineers, scientists, and architects to help the world’s mostinnovative 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 arethe same.

Job Description

Your Role
- Design, develop, and maintain scalable, high-performance data pipelines.
- Build ETL/ELT processes using Python, PySpark, SQL, Azure Databricks, and Azure Data Factory.
- Implement integration mechanisms for structured and unstructured data from multiple sources.
- Develop storage and processing solutions based on Data Lake and Lakehouse architecture.
- Ensure data quality, consistency, security, and availability.
- Optimize distributed processing workflows for large volumes of data.
- Implement data governance, monitoring, and observability standards.




- Design and implement solutions using Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage Accounts, Azure Key Vault, and Azure Logic Apps.
- Automate deployments via CI/CD pipelines using Azure DevOps.
- Monitor and resolve incidents related to data processes in production environments.
- Apply security and access management best practices in cloud environments.
- Implement secure authentication, authorization, and secret management mechanisms.
- Collaborate with Data Science teams to prepare, transform, and make data available for analytical models.
- Participate in Machine Learning, Artificial Intelligence, and NLP initiatives.
- Implement and support data pipelines for forecasting and predictive analytics models.

Your Profile
- Bachelor’s degree in systems engineering, Computer Science, Software Engineering, Data Science, or a related field.
- Python, PySpark, FastAPI, PyT

📌 Azure Data Engineer (Bogotá, D.C.)
🏢 Capgemini Engineering
📍 Bogotá, D.C.