Senior Data Engineer

Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ref. code:

551944

Posted on:

Oct 7, 2026

Experience Level:

Experienced Professionals

Contract Type:

Permanent

Location

Bogota, CO

Brand:

Capgemini Engineering

Professional Community:

Software Engineering

Apply now »

Apply now

Apply Now

Start

Please wait...

Find similar jobs:

All rights reserved by Capgemini. Copyright © 2025

Your Role:

• Plan, manage, and execute releases across all environments - from development to production.
• Identify technical and functional interdependencies between various tracks.
• Coordinate with all development pods and stakeholders across programs.
• Review application code, documentation, and perform pre/post deployment tasks.
• Define release process for new data engineering applications.
• Change management communication to all required stakeholders.
• Execute release packages, step-by-step deployment guides, and command line instructions on production environment.
• Support project timelines, clearly setting expectations, and realigning expectations internally as priorities change.
• Develop a sound understanding of client’s needs: data conversion and migration requirements, environment management and build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures.

Your Profile:

• Execute deployment scripts and step-by-step instructions in test and production environments.
• Comfortable with Command Line Interfaces.
• Understanding of CI/CD, Git branching, packaging and DevOps pipelines.
• Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau.