Data Engineer - Mid senior

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.

Your Role:

• 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

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, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes
• Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar.
• Hands-on experience with cloud platforms like AWS or GCP or Azure
• Knowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS
• Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.
• Experience with big data technologies such as, Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.
• Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.
• 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.
• Familiarity with Standard AI/ML processes & Operations is greatly valued.
• Degree in computer science, software engineering, or in engineering domains.
• Fluency in English is mandatory, and proficiency in additional languages advantageous.

What we Offer

Our famous atmosphere:

· There’s always someone happy to start the day with a cup of coffee with you – even virtually!

· We are a big company with a unique atmosphere – we make friendships, share important moments, and… simply like each other!

A lot of benefits:

· Referral bonuses for recommending your friends to Capgemini Engineering.

· Continuous training on Next*

· Offices in a great location

· Participation in international projects

· Integration in a multinational company

· Career Evolution

Location:

· Lisbon full-time and hybrid

We inform you that our recruitment process is 100% remote 

Capgemini Engineering is an Equal Opportunity Employer. We celebrate diversity and we do not tolerate discrimination of any kind. Whether that’s based on age, race, ethnicity, gender identity, citizenship, religion, sexual orientation, marital status, pregnancy, disability, veteran status.

*Capgemini has partnered with some of the world’s leading learning and development content providers, such as Pluralsight, Harvard Management or, Harvard Spark and most recently our global partnership with Coursera to create the Next digital learning platform. ‘Next’ gives all Capgemini learners access to 250,000+ courses and 3 million learning activities from 1200 sources, empowering them to fully customize and optimize their individual learning journey. All development activities on Next are recognized internally and many externally, with numerous external certifications available free of charge.

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