Data Engineer - mid

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:

• Design, develop, optimize and maintain data architecture and pipelines that adhere to ETL principles and business objectives
• Solve complex data problems to provide insights that help our company achieve its goals
• Create data products for analytics team members and data scientists to improve their productivity
• Advise, consult, coach, and train other data and analytics professionals on data standards and practices.

Your Profile :

• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
• Database know-how, familiar with SQL as well as experience in several database archetypes such as NoSQL, columnar storage, warehouses, graph databases etc.
• Python, yaml, javascript are all familiar (bonus if knowledgeable in: C, Go, or Rust)
• Good knowledge of AWS technologies, Terraform, Textract, S3, Glue, Data Pipelines
• Knowledgeable about BI tools such as Tableau, Power BI, Looker, and Shiny
• Bachelor’s degree in Computer Science, Data Science, Engineering or related or comparable professional experience Data Engineer - Mid-Senior (+4 years of experience)
• Mandatory Language : English B2 or C1

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