Data Engineer - Mid senior

at  CAPGEMINI ENGINEERING

Hi there!
We are Capgemini Engineering. A brand part of the Capgemini Group.
We have the mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, diversity, inclusion, a purpose of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can learn more about Capgemini Engineering here: https://www.youtube.com/watch?v=MZ0Z6PjdnQo.
You can help us to achieve our mission!
Now, we are part of Capgemini Group and we have more than 300,000 team members in nearly 50 countries, and we work with sectors such as aeronautics, automotive, communications, energy, life sciences, software & internet, space & defense and consumer products.
Your Mission
Capgemini Engineering is constantly growing and attentive to market opportunities and in search of the best professionals to join its team. We are looking for a Data Engineer to join our team, on a hybrid format, with the possibility of participating in many interesting and cutting-edge projects through the whole life-cycle.

• Capability of assuming leadership initiatives/responsibilities
• Design, develop, and maintain scalable and efficient data-centric applications and systems.
• Collaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS or GCP.
• Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards.
• Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes.
• Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency.
• Support ongoing AI & Analytics operations and systems, interpret trends
• Communicate findings, proposals, and technical solutions effectively to diverse stakeholders.
• Team work in a data-driven, solution oriented and critical mind-set is greatly encouraged and valued.
• Profiency in English is greatly valued