ADF Fullstack Engineer

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 an ADF Fullstack Engineer at Capgemini, you will play a key role in developing and integrating data-driven solutions, leveraging cloud platforms and machine learning capabilities. You will work closely with cross-functional teams and subject matter experts to transform business requirements into scalable and efficient technical solutions.

This position requires strong programming expertise, hands-on experience with data processing and machine learning integration, and the ability to work independently in a fast-paced, Agile environment.

Responsibilities & Scope

• Develop and maintain fullstack data solutions leveraging Python and cloud technologies.
• Integrate and enhance machine learning models, ensuring performance and scalability.
• Translate business requirements into technical solutions and actionable development steps.
• Collaborate closely with subject matter experts (SMEs) to understand domain-specific needs.
• Work with SQL queries and data processing libraries (Pandas, NumPy) for data analysis and validation.
• Build and maintain data visualization dashboards using tools like Bokeh.
• Ensure code quality and version control using Git-based workflows.
• Support quality assurance activities to ensure reliable and accurate system outputs.
• Contribute to continuous improvement of data pipelines and system performance.

Your Profile

• Data-driven mindset – Passionate about working with data, analytics, and machine learning solutions.
• Technical versatility – Strong fullstack capabilities across data engineering and application layers.
• Problem-solving orientation – Translates complex business challenges into efficient technical solutions.
• Collaborative approach – Works effectively with SMEs and cross-functional teams.
• Independent contributor – Able to manage tasks autonomously and deliver results in dynamic environments.

Qualifications & Preferred Skills

Must-Have Skills

• Bachelor’s degree in STEM fields.
• Strong programming experience in Python.
• Experience with Google Cloud Platform (GCP).
• High-level understanding of machine learning concepts.
• Experience with ML model integration and upgrades.
• Proficiency in Git for version control.
• Strong skills in SQL querying.
• Hands-on experience with Pandas and NumPy.
• Knowledge of Quality Assurance practices.
• Experience translating business requirements into technical solutions.
• Ability to work independently.
• Experience in data visualization (Bokeh preferred).

Good-to-Have Skills

• Knowledge of data modeling and ETL processes.
• Experience working in Agile/SCRUM environments.
• Familiarity with Oil & Gas / Oilfield domain knowledge.
• Experience with Dataiku.
• Understanding of performance optimization and monitoring techniques.
• Knowledge of signal processing concepts.
• Engineering background.

Trainable Skills (COE Enablement)

• CI/CD pipelines and DevOps tooling.
• Prognostics & Health Management (PHM) techniques and domain-specific analytics.

What you’ll love

• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
• Tech solutions and projects driving societal impact and paving the way for a sustainable future
• Well-being hub and different wellbeing initiatives

Need to know

Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.

Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.

About 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.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications are welcome and will be considered based on merit against the job and/or experience for the position.