Data Engineer GCP

Company Description

Meritis is an IT consulting, management, and development firm founded in 2007, with offices in Paris, Sophia-Antipolis, Aix-en-Provence, Montpellier, Toulouse, Nantes... And soon in new territories! Our mission? To connect the best talent with companies to give them a competitive edge.

We support our clients with all their digital transformation needs across numerous areas of expertise: Software Engineering, Finance, Project Management, DevOps, Data, Cloud, Cybersecurity, and Agility.

Operating in sectors such as Banking, Insurance, Telecommunications, Industry, and Transport, 40% of CAC40 companies are now Meritis clients.

Driven by our values of excellence, humility, kindness, and proximity, we now have over 900 employees.

We make it a point of honor to be close to our employees and to support them individually, regardless of their role in the company. Certified as a Great Place To Work since 2013, our concept of well-being at work goes far beyond a simple label; our employees describe it best: .

Job Description

Within our client's Data Project Department, you will work on:

GCP Transformation & Roadmap

• Support the migration and construction of Data services to GCP
• Structure Data Analytics & Data Science architectures
• Participate in the industrialization of AI / Machine Learning use cases
• Contribute to the recovery and integration of native GCP AI capabilities

Data Engineering & Development

• Develop robust data pipelines (Python)
• Integrate and leverage Google APIs
• Industrialize data flows
• Work on Machine Learning and production deployment issues
• Implement Infrastructure as Code practices

Cross-functional Collaboration

Work with:

• The Data Prep squad (Alteryx environment)
• The DataViz squad (Power BI / Azure datasets)
• The cross-functional squad (virtualization via Denodo)
• Participate in Scrum rituals
• Propose improvements to simplify the Data approach
• Contribute to the pooling of platforms while respecting security & IT constraints

Technical Leadership

• Provide an overview of the GCP ecosystem
• Participate in architecture decisions
• Act as a technical reference for Google Data Engineering topics
• Support the skill development of teams

Qualifications

• You have an engineering degree or equivalent Master's degree
• You have 10 years of experience in Data Engineering on GCP
• You have mastered the Google ecosystem (data services, APIs, ML)
• You have experience in Python development
• You have a good understanding of Cloud Data architectures
• You have experience in Infrastructure as Code

Additional Information

• Tailor-made professional paths (career development, adapted training, mentoring...);
• The choice of your mission and personalized support throughout your career;
• Evolve in an environment where learning is encouraged: certification training, e-learning, meetups, coding competitions, development paths, etc.;
• Be part of expert communities that share their knowledge and experience within our centers of excellence;
• A friendly environment with numerous festive events (annual party, seminars & teambuilding, lunches, and afterworks...);

"Meritis is committed to Corporate Social Responsibility. We value our positive impact on society and the environment. Our CSR approach guides each of our actions to promote equity, sustainability, and the well-being of our employees. Join us to be part of this responsible approach, where each of our talents contributes to building a better future.

_Our differences are our strengths. That is why Meritis is committed to diversity and non-discrimination. All our positions are accessible to people with disabilities."