Data engineer Python/dask/polars H/F

Towards AI, Inc.; Paris; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Towards AI, Inc. is seeking a Data Engineer to design, develop and maintain robust data pipelines in Paris. The role focuses on Python-based data processing with Polars or Dask, handling Parquet, CSV and JSON formats, and implementing automated data quality controls.

You will work in an industrial environment with containerization and orchestration, using Git and CI/CD to ensure reliable deployments and traceability. Join a team focused on scalable data solutions and security-aligned practices.

Qualifications

• At least three years of data engineering experience.
• Strong Python and data ecosystem skills (Polars or Dask).
• Experience with Parquet, CSV, and JSON formats.
• Experience with containers, orchestration, Git and CI/CD practices.

Responsibilities

• Design, develop and maintain robust data pipelines for large data volumes.
• Implement advanced transformation rules and data quality controls.
• Collaborate with security/compliance to identify sensitive data.
• Measure processing performance and optimize resource use for scalability.
• Ensure full traceability of code and datasets and participate in code reviews.

Skills

Python

Polars

Dask

Data engineering

Tools

Docker

Git

CI/CD

Job description

# Data engineer Python/dask/polars H/F## NEXTONPublished 29 Oct 2026### Share this jobParis, FranceTemporary## Role Highlights### Languages usedPython### Key skillsData EngineerCICDAgileTransformation### Tools, Libraries and FrameworksIOSCDIJSONDockerGitVue.jsDask## DescriptionThe role involves designing, developing, and maintaining robust data pipelines to handle large volumes of information. The professional will implement advanced transformation rules and contribute to identifying sensitive data in collaboration with security and compliance experts. Responsibilities include industrializing automated controls to ensure data quality, consistency, and completeness. The individual will measure processing performance to optimize resource consumption and ensure full traceability of code and datasets. Additionally, the role requires active participation in code reviews, automated testing strategies, and continuous integration processes.## Required Qualifications and SkillsThe role requires at least three years of experience in data engineering. Candidates must demonstrate strong proficiency in Python and its data ecosystem, along with practical experience using Polars or Dask. Expertise in handling tabular data and standard formats like Parquet, CSV, and JSON is necessary. Furthermore, the position requires experience with industrial environments, including containerization, orchestration, Git, and CI/CD practices.