Data Engineer | Cloud + Spark

About 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 help us to achieve our mission!

Now, we have more than 270,000 team members in nearly 50 countries, in sectors such as aeronautics, automotive, communications, energy, life sciences, software & internet, space & defense and consumer products.

Your Mission

You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client. You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.

Your Role

• Capability of assuming leadership initiatives/responsibilities.
• Process large volumes of data using distributed processing frameworks.
• 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.
• Communicate findings, proposals, and technical solutions effectively to diverse stakeholders.
• Teamwork in a data-driven, solution-oriented oriented and critical mindset is greatly encouraged and valued.

Your Profile

• 4 or more years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.
• Proficient in data warehouse design, implementation, and optimization.
• Proficient in Python and SQL.
• Hands-on experience with cloud platforms like AWS or GCP.
• Strong understanding of data modeling.
• Experience with big data technologies such as Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.
• Excellent communication skills and the ability to collaborate effectively in cross-functional teams.
• Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges.
• Degree in computer science, software engineering, or in engineering domains.
• Fluency in English is mandatory, and proficiency in additional languages is advantageous.