Data Engineer (GCP) | Luxury Retail Sector

at  Capgemini

DATA ENGINEER (GCP)- LISBON

Capgemini Portugal is currently looking for a Data Engineer (GCP) to join one of the world’s most prestigious and innovative companies in the luxury industry.
Our Client is the owner of prestigious Maisons distinguished by their craftsmanship, creativity, and technological innovation. Our Client’s ambition is to nurture the unique heritage and values of its Maisons and businesses, while enabling them to grow and prosper in a responsible, sustainable manner over the long term.
To leverage Lisbon’s tech spirit and infuse it into its brand-new Tech Competence Centre, our Client is looking to reinforce its technical capabilities on state-of-the-art technology and respond to the growth of their business. Their Lisbon teams will be an extension of its central Group Platforms teams and will be fully integrated in the core technology workforce. They look forward to welcoming their TCC employees and onboarding them on an exciting adventure managing modern solutions and innovative technologies through global, scaled platforms to create business value with pace and agility.
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SKILLS & EXPERIENCE

4+ years working in comparable engineering roles
Strong programming skills in Python and SQL and experience with Cloud Services (preferably in GCP): in our Tech Stack we use Terraform for Infrastructure as Code, BigQuery for data storage, Docker and Kubernetes for computing, Airflow for orchestration, and GitLab for CI/CD
First experiences with data visualization and data analysis tools such as Looker would be an advantage
Excellent written and verbal communication skills: Fluent in English, French is a plus
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DESIRED PERSONAL SKILLS

High attention to detail.
Strong problem-solving and analytical skills, with a strategic mindset.
Good communication and collaboration skills.
Strong analytical, problem-solving, negotiation and organizational skills.
Strong customer orientation.
Ability to prioritize and execute tasks in a high-pressure environment and make. sound decisions in emergency situations.
Demonstrated experience in web application scalability.
Capacity to use emerging web technologies into live ecosystems.
Highly self-motivated and focused.
Ability to work in a complex, fast-paced, distributed environment with high expectations.
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In collaboration with our data platform team and management, you will build data pipelines on our cloud platform and will contribute to bring our data projects to life.
In close collaboration with the various domain leads and data product owner, you will qualify needs and build solutions within GCP accordingly,
Clean and transform raw data from various sources into reliable data products.
Implement tests to check the quality and reliability of the data.
Document the data products to ensure a global understanding of dimensions and key-figures.
Apply software engineering best practices to analytics (version control, testing, continuous integration).
Propose, transform, and automate non added value processes.