Overview
USD 65.00 - 80.00 per hour
Full Time
Skills
Data Analysis
Communication
Writing
Clarity
Collaboration
Knowledge Sharing
Critical Thinking
Attention To Detail
Documentation
Data Engineering
Extract
Transform
Load
ELT
Orchestration
Cloud Computing
Amazon Web Services
Data Lake
Warehouse
Amazon S3
Python
Data Manipulation
Pandas
PySpark
Management
Data Modeling
Snow Flake Schema
Normalization
Dimensional Modeling
Data Quality
Data Deduplication
Version Control
Continuous Integration
Continuous Delivery
Workflow
Git
Training
Job Details
Onsite in Paris, France
Submit your top 3 profiles (only 3, no more please)
We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space)
with the following expertise:
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.
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)
Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)
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)
Pay Range: $65/hr - $80/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1
Submit your top 3 profiles (only 3, no more please)
We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space)
with the following expertise:
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.
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)
Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)
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)
Pay Range: $65/hr - $80/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
#LI-IK1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.