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Data Engineer GCP (H/F) Job Opening In Suresnes – Now Hiring Bel


Job description

The Bel Group is a major player in the food industry through portions of dairy, fruit and plant-based products, and one of the world leaders in branded cheeses.

Its portfolio of differentiated and internationally recognized brands includes The Laughing Cow®, Kiri®, Babybel®, Boursin® Nurishh®, Pom'Potes® and GoGo squeeZ®, as well as some 30 local brands.

Together, these brands helped the Group generate sales of €3.74 billion in 2024.

Do you want to join a company with strong brands that puts consumers and responsibility at the heart of the decision-making process?

Then Bel is made for you!

Are you bold, pragmatic, and determined?

Do you want to contribute to the transformation of an international agri-food company?

Them come join us and measure the impact of your talent and energy in realizing an ambitious and sustainable company project!

#IWorkForAllForGood

Within the Data & Analytics team, you will work in a rich technological environment centered around the GCP (Google Cloud Platform) solution.
You will contribute to building BEL's data assets as well as implementing use cases that meet the needs of our various business units (Manufacturing, Supply, Marketing, R&D, etc.).



You will also participate in projects that migrate legacy data systems to GCP, playing an active role in executing the group’s Data strategy.

Your Main Responsibilities:

  • Design and develop data loading and transformation pipelines on GCP using DBT.

  • Ensure the quality and integrity of data throughout the development lifecycle.

  • Apply best development practices and maintain CI/CD processes for continuous integration and deployment of data projects via GitLab.

  • Monitor and manage incidents.

  • Participate in peer review and validation of Pull Requests with other Data Engineers.

  • Automate data infrastructure using Terraform (Infrastructure as Code).

  • Document architectures, pipelines, and best practices.

  • Stay up to date with technology trends and share insights with the team during dedicated sessions.
  • Skills:

  • Expertise in DBT for data transformation.

  • Excellent knowledge of SQL.

  • Experience in Python for scripting and developing data tools.

  • Advanced proficiency in Google Cloud Platform (GCP) and associated services (BigQuery, Cloud Storage, Cloud Run, Composer, etc.).

  • Strong data modeling skills (dimensional, relational, etc.).

  • Experience in automating infrastructure with Terraform.

  • Mastery of CI/CD tools and practices, ideally with GitLab.
  • Personal Qualities:

  • Dynamic, proactive, and self-sufficient.

  • Team player, detail-oriented, autonomous, and able to work effectively in an agile environment.

  • Strong analytical and problem-solving skills.
  • Profile Sought:


    Degree in computer science, data engineering, or a related field, with at least 5 years’ professional experience.Significant experience working on large-scale data projects.

    This is a permanent position (CDI), based at Bel Group’s headquarters in Suresnes, with the option for remote work (2-3 days per week).

    Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Bel adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying France laws and regulations

    What Is the Average Salary Range for Data Engineer GCP (H/F) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Suresnes. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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