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Data engineer senior

France, Paris · Job Posted December 06, 2025
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Job Description

Within a dynamic, high-level team, you will contribute to both R&D and client projects, focused on data valorisation, as well as the design and implementation of operational software relying on advanced Optimisation and Machine Learning.

Job Responsibility

  • Design and develop innovative and high-performance software solutions addressing industrial challenges, primarily using the Python language and a microservices architecture
  • Gather user and business needs to design data collection and storage solutions best suited to the presented use cases
  • Develop technical solutions for data collection, cleaning, and processing, then industrialise and automate them
  • Contribute to setting up technical architectures based on Data or even Big Data environments
  • Carry out development work aimed at industrialising and orchestrating computations (statistical and optimisation models) and participate in software testing and qualification

Requirements

  • Degree from a top engineering school or a high-level university program
  • At least 3 years of experience in designing and developing data-driven solutions with high business impact, particularly in industrial or large-scale environments
  • Excellent command of Python for both application development and data processing, with strong expertise in libraries such as Pandas, Polars, NumPy, and the broader Python Data ecosystem
  • Experience implementing data processing pipelines using tools like Apache Airflow, Databricks, Dask, or flow orchestrators integrated into production environments
  • Contributed to large-scale projects combining data analysis, workflow orchestration, back-end development (REST APIs and/or Messaging), and industrialisation, within a DevOps/DevSecOps-oriented framework
  • Proficient in using Docker for processing encapsulation and deployment
  • Experience with Kubernetes for orchestrating workloads in cloud-native architectures
  • Motivated by practical applications of data in socially valuable sectors such as energy, mobility, or health, and thrives in environments where autonomy, rigour, curiosity, and teamwork are valued
  • Fluency in English and French is required

Nice to have

  • Comfortable with managing relational databases (PostgreSQL, MySQL) and non-relational databases (such as MongoDB, Elasticsearch), and know how to integrate them into robust and secure processing chains
  • Hands-on experience managing large or semi-structured files (CSV, JSON, Parquet) via object storage such as AWS S3, Azure Blob Storage, Google Cloud Storage, or alternatives, in connection with data platforms and distributed processing

What we offer

  • Up to 2 days of remote work per week possible
  • Flexible working hours
  • Offices located in the city center of each city where we are located

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