Data Engineer

Red Oak Technologies; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A technology solutions provider in Paris is seeking a Data Analytics Engineer specializing in data analytics. The successful candidate will have over 5 years of experience in data engineering, expertise in building data pipelines and working with cloud platforms like AWS. Candidates must demonstrate excellent communication skills and the ability to maintain data quality. This role requires all work to be performed onsite.

Qualifications

• 5+ years of Data Engineering experience.
• Expertise in building and maintaining data pipelines.
• Proficiency with orchestration tools like Airflow.

Responsabilités

• Deliver high-quality, maintainable data systems.
• Collaborate with cross-functional teams to ensure data integrity.
• Maintain clear documentation of project logic and decisions.

Connaissances

Data Engineering Expertise

Building and maintaining data pipelines (ETL/ELT)

Orchestration tools (e.g., Airflow, dbt, Prefect)

Cloud platforms (e.g., AWS) and Snowflake

Data lake and warehouse architecture

Data modeling

Maintaining data quality and integrity

Version control and CI/CD practices

Description du poste

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