
10,000+ employees
Founded 1967
🏢 Enterprise
🤖 Artificial Intelligence
🔒 Cybersecurity
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
🕒 January 23
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1967
🏢 Enterprise
🤖 Artificial Intelligence
🔒 Cybersecurity
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
• This role will help the team to design, set up, and monitor the data ecosystem that's needed to support the modeling needs. • Tasks include, but not limited to, setting up data pipelines and design efficient data storage solutions.
• Over 4 years of experience in data development and analytics engineering using Python, SQL, DBT and Snowflake. • Bachelor’s degree in Computer Science, Data Science, Engineering or other Math or Technology related degrees. • Fluency in English. • SQL (must have) • Python (must have) • Snowflake (must have) • DBT (must have) • Data Transformation • Data Quality Assurance • Pipeline Design and Development • Technical Communication • Independent work • Orientation to detail
• A competitive salary and performance-based bonuses. • Comprehensive benefits package. • Flexible work arrangements (remote and/or office-based). • You will also enjoy a dynamic and inclusive work culture within a globally renowned group. • Private Health Insurance. • Paid Time Off. • Training & Development opportunities in partnership with renowned companies.
Apply Now🕒 January 8
Analytics Engineer responsible for developing data products at TRACTIAN. Collaborating with teams to optimize data workflows and enable self-service analytics for decision-making.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
AWS
Cloud
ETL
Postgres
Python
SQL
Tableau
🕒 December 1, 2025
Senior Analytics Engineer specializing in data modeling and visualization tools. Transforming data for customer consumption using PowerBI and sharing skills with team members.
🗣️🇧🇷🇵🇹 Portuguese Required
Cloud
🕒 November 29, 2025
Data Integration Engineer designing and implementing scalable data pipelines at Keyrus. Collaborating with technical teams to ensure data integrity and enhance data solutions.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Azure
ETL
PySpark
SQL