- Company Name
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- Senior Data Engineer - Freelance
- Job Description
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Job title: Senior Data Engineer – Freelance
Role Summary:
Lead the design, implementation, and optimization of scalable data pipelines on GCP, ensuring reliability, performance, and data quality. Drive data ingestion, transformation, and MLOps workflows, and provide mentorship to junior engineers and scientists.
Expactations:
- 6‑12 month freelance engagement.
- Proven experience on a production cloud data platform with scalability challenges.
- Significant track record in industrializing Data Science solutions (reverse ETL, API data delivery).
- Comfortable with advanced DataOps practices (monitoring, alerting, automated testing).
Key Responsibilities:
- Apply dbt best practices for modeling and transforming data in BigQuery.
- Build ingestion and integration mechanisms for new external data sources.
- Audit and strengthen GCP data infrastructure to accelerate ETL/ELT pipeline performance.
- Ensure data reliability through advanced DataOps (monitoring, alerting, documentation, automated tests).
- Design, develop, and secure end‑to‑end pipelines for ML model deployment (MLOps).
- Mentor and upskill team members in Data Engineering and Data Science.
Required Skills:
**Hard Skills**
- Cloud GCP: BigQuery, Cloud Storage, Compute Engine, Vertex AI, Cloud Run.
- Data Engineering: Airflow, dbt, Python, ClickHouse.
- MLOps: TensorFlow, Scikit‑learn, FastAPI, MLFlow.
- DevOps: CI/CD (GitHub Actions), Terraform, Kubernetes, ArgoCD.
- BI & Visualization: Metabase.
**Soft Skills**
- Excellent written and verbal communication in French; technical English proficiency.
- Strong analytical mindset, prioritization, rigor, and organization.
- Ability to diagnose performance issues in complex environments.
- Documentation and knowledge sharing focus.
- Team‑oriented and service‑mindful attitude.
Required Education & Certifications:
- Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, Data Engineering, or related field.
- Relevant certifications in GCP, data engineering, or DevOps are desirable.