Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Senior Data Engineer optimizing data pipelines for a startup improving urban safety and cleanliness. Collaborating with data science and DevOps teams to ensure data reliability and performance.
Responsibilities
- Design, develop, and maintain robust, automated, and scalable data pipelines.
- Ensure the quality, security, and reliability of data across its entire lifecycle.
- Define and maintain infrastructure-as-code for data-related services.
- Build and maintain dashboards, monitoring tools, and reports for internal teams.
- Collaborate closely with Data Science, DevOps, and Product teams to ensure data consistency and maximize the value of data.
- Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).
Requirements
- Master's degree (or equivalent) in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
- 5+ years of experience in Data Engineering, preferably in cloud and AI environments.
- Excellent proficiency in Python and development best practices (testing, version control, packaging).
- Strong knowledge of SQL and NoSQL databases (PostgreSQL, DynamoDB).
- Solid experience automating workflows (Airflow, GitHub Actions, GitLab CI/CD).
- Proficiency with MLOps concepts, integrating data into ML workflows, monitoring, and deployment.
- Cloud experience with AWS or GCP (S3, Lambda, RDS, Step Functions).
- Familiarity with Docker and containerized environments.
Benefits
- Hybrid work arrangement (Paris-based, depending on role).
- Cadre employment contract and RTT (8–12 days per year depending on public holidays).
- Choice of Mac or PC according to your preference.
- 60% coverage of meal vouchers (€9 per working day).
- €50/month training budget contribution.
- Comprehensive health insurance (Alan).
- Offices located in central Paris (3rd arrondissement).
- Annual offsite with the full team and numerous company events.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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