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. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
As a Junior Cloud Data Engineer (Academy Program) at Capgemini, you will begin your professional journey in Data Engineering through a structured learning and development program designed to build expertise in modern data and cloud technologies.
You will work alongside experienced professionals, gaining hands-on experience in data processing, cloud platforms, and data pipeline development while contributing to real business projects. This role is ideal for recent graduates and early-career professionals looking to develop a strong foundation in Data Engineering and Cloud technologies.
Location: Aguascalientes, Mexico
Responsibilities & Scope
- Support the development, maintenance, and monitoring of data pipelines and data processing workflows.
- Work with SQL to perform data extraction, validation, analysis, and reporting activities.
- Assist in cloud-based data engineering tasks using technologies such as Azure, Google Cloud Platform (GCP), Databricks, and Snowflake.
- Collaborate with senior engineers and technical teams in the design, implementation, and maintenance of data solutions.
- Support data quality initiatives by helping identify, troubleshoot, and resolve data inconsistencies.
- Contribute to performance improvement and optimization activities for data processes.
- Participate in Agile ceremonies, team meetings, and training sessions.
- Learn and apply data engineering best practices, cloud concepts, and modern data technologies.
- Document processes, workflows, and technical solutions as required.
Your Profile
- Passionate about technology and data – Eager to build a career in Cloud and Data Engineering.
- Continuous learner – Motivated to develop technical skills and expand knowledge through training and hands-on experience.
- Analytical thinker – Comfortable working with data, solving problems, and identifying trends.
- Collaborative team player – Enjoys working with diverse teams and sharing knowledge.
- Proactive mindset – Takes initiative and embraces new challenges.
- Strong communicator – Able to effectively communicate ideas and collaborate in English-speaking environments.
Qualifications & Preferred Skills
Required Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Data Science, Mathematics, or related field.
- Minimum 6 months of experience through internships, academic projects, traineeships, or professional experience.
- Advanced English proficiency (written and verbal).
Required Skills
- Basic understanding of data management and database concepts.
- Foundational knowledge of SQL.
- Understanding of data processing and ETL concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Ability to learn new technologies and adapt to dynamic environments.
Preferred Skills
- Exposure through academic projects, internships, or personal projects to cloud and data technologies such as:
- Microsoft Azure
- Google Cloud Platform (GCP)
- Databricks
- Snowflake
- Basic knowledge of Python.
- Familiarity with data analytics, databases, or cloud computing concepts.
- Exposure to Agile methodologies.
- Interest in Data Engineering, Data Platforms, and Cloud Technologies.
What You'll Love
- A structured Academy Program designed to accelerate your technical and professional growth.
- Mentorship and guidance from experienced Data and Cloud Engineering professionals.
- Exposure to real-world projects and enterprise-scale technologies.
- Access to training, certifications, and continuous learning opportunities.
- Collaborative, innovative, and inclusive work environment.
- Opportunities to build a long-term career within Capgemini's global technology organization.
Need to Know
Career Development in Spanish & English: Access to training programs, certifications, mentoring opportunities, and learning resources available in both languages to support your professional growth.
Community Engagement: Join internal communities, volunteering initiatives, technical events, innovation programs, and networking opportunities across Capgemini.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries.
With a strong heritage of more than 55 years, Capgemini helps clients unlock the value of technology through end-to-end services and solutions, leveraging capabilities in strategy and design, engineering, AI, generative AI, cloud, data, and digital transformation.
At Capgemini Mexico, we are committed to fostering a diverse and inclusive workplace where everyone has equal opportunities. We welcome applications from all qualified candidates and evaluate them based on merit, skills, qualifications, and experience relevant to the role.
