**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**:
- **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**:
- **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**:
- **Adaptable 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.

📌 Senior Data Engineer (Remote in México) (Guadalajara)
🏢 Capgemini Engineering
📍 Guadalajara