Senior Data Science Engineer H/F
54k € a 68k €/anEstimé
Mission
Vizzia develops technology solutions with strong societal impact, combining artificial intelligence and field observation to better understand and manage environmental challenges.
We are looking for a Senior Data Engineer to optimize, secure, and industrialize the data pipelines powering our AI products. Your role is critical: you ensure the quality, availability, and performance of the data used daily by AI, Product, and DevOps teams.
Responsibilities
Design, develop, and maintain robust, automated, and scalable data pipelines.
Ensure data quality, security, and reliability throughout the entire data lifecycle.
Define and maintain infrastructure as code for data-related services.
Build and maintain dashboards, monitoring tools, and reports for internal teams.
Work closely with Data Science, DevOps, and Product teams to ensure data consistency and value.
Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).
• Profile
Technical skills
- Master's degree (or equivalent) in computer science, data engineering, or AI.
- 5+ years of experience in Data Engineering, ideally in cloud and AI-driven environments.
- Excellent command of Python and software engineering best practices (testing, versioning, packaging).
- Strong knowledge of SQL and NoSQL databases (PostgreSQL, DynamoDB).
- Solid experience with workflow automation (Airflow, GitHub Actions, GitLab CI/CD).
- Strong understanding of MLOps concepts, data integration into ML workflows, monitoring, and deployment.
- Cloud experience on AWS or GCP (S3, Lambda, RDS, Step Functions).
- Knowledge of Docker and containerized environments.
Soft skills
Strong technical rigor and constant focus on quality.
High level of autonomy and ability to own a broad scope.
Clear, structured communication with a collaborative mindset.
Ability to work with cross-functional teams.
Analytical mindset and attention to detail.
☆ What Will Make the Difference
Proven experience running critical production data pipelines.
Advanced practice of data observability (logs, metrics, alerting).
Open-source contributions in the data or ML ecosystem.
Proactive approach to continuous improvement of data workflows and environments.
Sensitivity to the environmental or societal impact of technology.
Tech Stack
Languages: Python
Databases: PostgreSQL, DynamoDB
Pipelines: GitHub Actions
Cloud: AWS (S3, Lambda, RDS, Step Functions), GCP
Containerization: Docker
Observability: Datadog, Grafana, Prometheus
MLOps: MLflow, SageMaker
Benefits
Hybrid work
"Contrat cadre" and RTT (between 8-12 per year depending on the number of public holidays in the current year)
A Mac or PC depending on your preferences
BSPCE
60% coverage of meal vouchers worth €9 per worked day
/ Sustainable mobility allowance
Mutuelle (Alan)
Offices located in central Paris (9th arrondissement)
Annual offsite with the whole team and plenty of company events
L'offre d'emploi a été publiée il y a 12 jours
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