Cloud Data Scientist
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Job Description
Cloud Engineer optimizing GCP data, ML, and LLM infrastructure for Havas Media Group. Supporting analytics solutions, pipelines, and cloud operations for global marketing teams.
Responsibilities:
- Implement, optimize, and maintain cloud-based solutions on GCP for data analytics and insights
- Support the deployment, maintenance, and scaling of ML and LLM-based solutions
- Develop and maintain reliable, secure, and high-performance cloud infrastructure
- Automate deployment and management processes using scripting and basic IaC tools
- Monitor systems, troubleshoot issues, and optimize cloud services and data pipelines
- Collaborate with senior engineers on technical design and maintain clear technical documentation
- Work closely with cross-functional teams and share cloud best practices with Strategy and Media teams
Requirements:
- 2–5 years of experience in Cloud Engineering, Software Engineering, or related roles
- Hands-on experience with Google Cloud Platform (GCP)
- Strong proficiency in Python and SQL
- Experience with GCP services such as BigQuery, Cloud SQL, Dataflow, Pub/Sub, and App/Compute Engine
- Experience building and managing ETL/ELT data pipelines
- Exposure to or strong interest in Machine Learning and LLMs on GCP
- Knowledge of Agile/Scrum methodologies
- Familiarity with Digital Analytics and Ad-Tech platforms (Google Ads, Campaign Manager, Meta)
- Strong collaboration skills, curiosity, and a continuous learning mindset
- GCP certifications are a plus
- Professional Engineer with a passion for marketing analytics
Benefits:
- Global exposure: Work with international teams and global brands
- Long-term contract: Stability and the opportunity to grow within a global network
- Remote work model: Virtual work environment with a healthy work-life balance
- EPS 100% health insurance
- Wellness initiatives
- Inclusive, collaborative, and purpose-driven workplace
- Full time contract monthly salary
- Food benefit card
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