Company description
Meritis is an IT consulting, project management and development firm founded in 2007, with offices in Paris, Sophia-Antipolis, Aix-en-Provence, Montpellier, Toulouse, Nantes... And soon in new regions! Our mission? Connecting the best talent with companies to give them a head start.
We support our clients across all their digital transformation needs through many areas of expertise: Software Engineering, Finance, Project Management, DevOps, Data, Cloud, Cybersecurity and Agility.
Operating in the Banking, Insurance, Telecommunications, Industry and Transport sectors, 40% of CAC 40 companies today are Meritis clients.
Guided by our values of excellence, humility, kindness and closeness, we now have more than 900 employees.
We take pride in staying 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 well beyond a simple label; our employees speak about it best: https://www.glassdoor.fr/Avis/Meritis-Avis-E1163008.htm.
Job description
We are looking for a Senior Data Engineer to join an international team in charge of collecting, improving the reliability of, and exploiting data from tracking and digital marketing environments. This is a project from scratch!
Your main responsibilities:
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Design, develop and maintain data pipelines on GCP
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Work on flows from Google Tag Manager and help improve their reliability
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Set up controls and mechanisms to improve the quality, consistency and availability of data
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Take part in transforming and structuring data to make it easier to use by the Data, Marketing and business teams
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Contribute to the design and evolution of the central data platform
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Develop and optimise distributed processing and Data pipelines
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Take part in technical decisions and the continuous improvement of the Data architecture
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Industrialise deployments and infrastructure via Terraform and CI/CD practices
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Collaborate with the Data, Cloud, Marketing teams and the various technical contacts on the project.
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Ensure the quality, maintainability and performance of developments.
Technical environment:
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Cloud: GCP
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Data: BigQuery, Dataflow, Dataproc, Bigtable
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Development: Python and/or Java
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Streaming / messaging: Kafka
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Infrastructure as Code: Terraform
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CI/CD: GitHub Actions
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Data Marketing: Google Tag Manager, tracking data, customer personalisation
Qualifications
- You hold an engineering degree / Master's level (Bac+5) in data
- You have 5 years of experience in Data Engineering in a GCP cloud environment
- You have strong GCP skills, with hands-on experience of services such as BigQuery and Dataflow
- You develop in Python and/or Java;
- You are proficient in Terraform and Kafka
- You are familiar with CI/CD practices, ideally with GitHub Actions
- You speak English and French
- You are autonomous and proactive in proposing ideas
Additional information
- Tailored career paths (career development, suitable training, mentoring…);
- Choice of your assignment and personalised support throughout your career;
- Work in an environment that encourages learning: certified training, e-learning, meetups, coding competitions, career development paths etc;
- Be part of expert communities that share their knowledge and experience within our competence centres;
- A friendly environment with many social events (annual party, seminars & team building, lunches and after-works…);
"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 a stakeholder in this responsible approach, where each of our talents helps build a better future.
Our differences are our strengths. That is why Meritis is committed to diversity and non-discrimination. All our roles are accessible to people with disabilities."