At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative 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 are the same.
Your role
In this role, you will be at the forefront of data engineering and machine learning initiatives, leveraging cloud-based technologies to transform complex data into actionable insights. You will design, develop, and maintain scalable data pipelines and machine learning solutions to address business challenges.
In this role you will play a key role in:
Developing and optimizing data processing workflows using Python, PySpark, and SQL on Azure Databricks to ensure efficient data transformation and analysis
Building and deploying machine learning models with a focus on financial risk modeling, forecasting, and natural language processing applications
Creating and maintaining RESTful APIs using FastAPI to enable seamless integration of data services across platforms
Implementing robust testing frameworks with Pytest to ensure code quality and reliability of data pipelines and ML models
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions that drive data-informed decision making
Utilizing Azure cloud services (Data Factory, Functions, Logic Apps, Key Vault, Storage) to architect end-to-end data and AI solutions
Your profile
Good conversational English skills (B2, C1, C2)
Strong programming skills in Python with experience in data manipulation libraries and PySpark
Proficiency in SQL and database management , including MySQL and cloud-based data warehousing solutions
Demonstrated experience with Azure Databricks ecosystem, including notebooks and workflows
Hands-on experience with Azure DevOps for CI/CD pipelines and version control using Git
Knowledge of machine learning concepts and practical experience implementing ML models for business applications
Experience in financial domain applications such as credit risk assessment, financial risk modeling, or cash flow analytics
Ability to develop and consume RESTful APIs and experience with web scraping techniques
Strong analytical skills with the ability to interpret complex data sets and communicate insights effectively
Experience with business intelligence tools and data visualization techniques
Self-motivated with excellent problem-solving skills and attention to detail
What you will love about working here
Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges. Be part of a company that values sustainability, inclusion, and digital equity. Contribute to building a better future for people, planet, and society.
Growth and Learning at Every Step: Access continuous learning through internal academies, certifications, and mentorship. Explore career mobility across roles, industries, and geographies. Be part of a “school of excellence” where your skills resonate beyond the company
Own your growth: Open access to digital learning platforms. Digital campuses on AI, Cloud, Data or Sustainability. Award winning career acceleration programs
Need to know
Work modality: remote
Flexible Schedules: We support flexible working hours to accommodate different lifestyles, time zones, and family responsibilities.
Benefits: Training, certifications, and mentorship programs
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 welcome and will be considered based on merit against the job and/or experience for the position.