Company Description
Meritis is a consulting, project management, and IT development firm founded in 2007, present in Paris, Sophia-Antipolis, Aix-en-Provence, Montpellier, Toulouse, Nantes... and soon in new territories! Our mission? Connect the best talent with companies to give them a competitive edge.
We support our clients with all their digital transformation needs across many areas of expertise: Software Engineering, Finance, Project Management, DevOps, Data, Cloud, Cybersecurity, and Agility.
Working in the Banking, Insurance, Telecommunications, Industry, and Transport sectors, today 40% of CAC40 companies are Meritis clients.
Backed by our values of excellence, humility, kindness, and proximity, we now have over 900 employees.
We take pride in being close to our employees and supporting them individually regardless of their role in the company. Certified Great Place To Work since 2013, our approach to workplace well-being goes far beyond a simple label—our employees speak to it best: https://www.glassdoor.fr/Avis/Meritis-Avis-E1163008.htm.
Job Description
Within our client's Data Project Management team, 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 adoption 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 ceremonies
- Be a driver for simplifying the Data approach
- Contribute to platform consolidation while respecting security & IT constraints
Technical Leadership
- Provide an overall vision of the GCP ecosystem
- Participate in architecture decisions
- Be a technical reference on Google Data Engineering topics
- Support team skill development
Qualifications
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You have an engineering degree or equivalent Bac+5
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You have 10 years of experience in Data Engineering on GCP
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You master the Google ecosystem (data services, APIs, ML)
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You have experience in Python development
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You have a good understanding of Cloud Data architectures
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You have experience in Infrastructure as Code
Additional Information
- Customized career paths (career development, tailored training, mentoring…) ;
- Choice of your assignment and personalized support throughout your career ;
- Evolve in an environment where learning is encouraged: certification training, e-learning, meetups, coding competitions, career development paths, etc ;
- Be part of expert communities that share their knowledge and experience within our centers of excellence ;
- A friendly environment with many festive events (annual evening, seminars & team building, lunches and after-work gatherings…) ;
"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 initiative, where each of our talents contributes to building a better future.
Our differences are our strengths. That's why Meritis is committed to diversity and non-discrimination. All our positions are accessible to people with disabilities."