Data Engineer

Gempool Recruitment
Paris, France
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 124K

Job location

Paris, France

Tech stack

Airflow
Amazon Web Services (AWS)
Databases
Continuous Integration
Information Engineering
Data Migration
Python
SQL Databases
Snowflake
GIT
Pandas
Data Lake
PySpark
Software Version Control

Requirements

Strong communication skills - able to explain technical work clearly to diverse audiences. A knack for documentation, reproducibility, and transparency. Collaborative mindset with knowledge sharing at the core. Proactive problem-solving and curiosity. High attention to detail, delivering maintainable, trustworthy code.

Technical Experience:

Orchestration tools: Airflow, dbt, Prefect. Data lake/warehouse architecture: S3 + Athena, Delta Lake. Strong Python (pandas, pyarrow, pyspark). Version control & CI/CD for data workflows (Git).

Must-Haves:

Snowflake: 3+ years of experience Data Migration: At least 5 years of experience Database Technologies: At least 5 years of experience Advanced SQL: At least 5 years of experience Data Engineering: At least 5 years of experience Python: At least 5 years of experience

Benefits & conditions

Direct message the job poster from GemPool Recruitment Our client is a leader in comprehensive resourcing solutions for the IT sector, and they are seeking a dynamic Data Engineer. You'll be working with their prestigious partner, a global giant in consumer electronics, software, and digital services. Location: Hybrid (3 days onsite) in Paris, France Duration: 12+ months Rate: €450 - €475 per day (€100,000+ a year) We're seeking a Data Analytics Engineer (Data Engineer with analytics expertise) to join our client on a long-term project in Paris. If you're passionate about building robust data solutions, collaborating with cross-functional teams, and ensuring data integrity at scale, this could be the perfect fit. Core Competencies

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