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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 Develop and maintain data pipelines that support analytics and business reporting solutions. Build and enhance ETL/ELT processes using cloud-based data technologies. Perform data validation, testing, and troubleshooting activities to ensure data quality and reliability. Optimize SQL queries and support improvements in data processing performance. Collaborate with Agile teams to deliver new features, deployments, and platform enhancements. Your Profile 4-5 years of experience in Data Engineering, Data Development, or related data-focused roles. Hands-on experience with Python, PySpark, SQL, and cloud-based data processing environments. Familiarity with BigQuery, Dataproc, and Cloud Composer, with a willingness to expand expertise in GCP services. Understanding of ETL/ELT processes, data pipelines, data quality, and data transformation concepts. Strong problem-solving skills, eagerness to learn, and ability to work effectively in collaborative Agile environments. What you'll love Contribute to building a better future for people, planet, and society. Thrive in a diverse, respectful, and inclusive environment. Access continuous learning through internal academies, certifications, and mentorship. Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini. A culture anchored in our Fun and Team spirit values. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.