Job Description

Overview:
At (Collaboration Betters The World), a global technology consulting firm, collaboration is the cornerstone of innovation and success, and the foundation of everything we do.
Our mission: to transform businesses and communities for a better world.
Present in more than 20 countries and 35 cities, we combined global expertise with a local understanding of our clients' challenges.
Within the " Data Analytics & AI " Service Line, we are developing an approach that aims to support our clients in defining their strategies for Data Science and AI, Analytics and Business Intelligence, and Data and Platforms. The goal is to support them at every stage of their journey to help them unlock the potential of their data.
Responsibilities:
What are you going to do?
Specifically, within the Data Engineering expertise team, you will be responsible for:
1. Conception & Architecture
  • Designing scalable and secure data architectures : Data Lake, Data Warehouse.
  • To perform cost estimates and objectively compare different technologies and architectures.
  • Participate in technological choices based on business challenges and technical constraints.
  • Define and promote best practices in data engineering and architecture.
2. Development & Industrialization
  • Building and industrializing batch and real-time pipelines.
  • Implement CI/CD practices, observability, governance and data quality.
  • Optimize performance and costs in cloud environments.
Qualifications:

What is your profile?

  • You have significant experience of more than 7 years in data engineering.
  • You have a degree in Data Science (Master's level/Engineering school)
  • You have expertise in a modern Data Platform, ideally Data Bricks or Microsoft Fabric.
  • You are proficient with a public cloud (Azure, AWS or GCP).
  • You have very good skills in SQL and Python.
  • You have a solid understanding of modern data architecture.
  • You have strong interpersonal skills, particularly for facilitating various workshops (design, agile workshops, retrospectives and scoping).
Our recruitment process:
Step 1: Meeting with a member of the HR team to introduce the position, the work environment and understand your motivations;
Step 2: Meeting with the Service Line teams to get to know each other but also to challenge you technically;
Step 3: Meeting with a member of management and one of our sales representatives to challenge you on your understanding of CBTW, the sharing of common values ​​and your motivation to join us.
What we propose to you:
  • Collaborate within a dynamic and open-minded international company where your ideas are heard and valued;
  • Access career development opportunities throughout your career through training and certifications;
  • Benefit from tailored career support with your HR contact person and regular check-ins with your Business Manager during your assignments;
  • Joining communities that allow you to share common interests or technical expertise;
  • Create a connection with passionate colleagues through various internal events (after-work drinks, annual parties, seminars, etc.).
We look forward to speaking with you!