Data Engineer
Summary
Build and maintain scalable data pipelines and warehouses for analytics, using cloud tools like AWS and Snowflake, orchestration platforms such as Airflow, and data modeling best practices.
Since 1995, Red Oak Technologies has been a trusted partner in the tech industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management based resources.
NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).
Location: Onsite in Paris, France
We are looking for a Data Analytics Engineer (a data engineer who specializes in the data analytics space) with the following expertise for our client :
Core Professional Competencies:
Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.
Qualifications:
- Data Engineering Expertise (5+ years)
- Experienced in building and maintaining data pipelines (ETL/ELT)
- Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
- Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
- Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
- Data Infrastructure & Management (5+ years)
- Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
- Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
- Familiar with version control, CI/CD practices for data workflows (e.g., Git)
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries: Technology, Information and Media