At Interstellar Lab our mission is to build a future full of life, on Earth and beyond. We believe in a future where technology is enabling humans to live in harmony with nature, a future where biodiversity thrives and expands, a future where terrestrial life become multi-planetary.

To build this future, we design, manufacture and operate controlled-environment biofarms that unleash the power of plants. On Earth and in Space. Our solutions combine Hardware, AI and Bioscience. We use controlled-environment technology to mimic a multitude of conditions to allow plants, fungi and microorganisms to grow faster and better.On Earth, we are pioneering molecular and bio-farming, boosting production of nutrients, metabolites and bioactive compounds in plants while providing a sustainable and safe source of plant materials. Our customers are large beauty, perfume, natural ingredients, food&beverage and nutraceuticals companies. 

To advance space exploration, we work with space agencies and private companies and provide them bio-farming units to grow efficiently food for astronaut and/or conduct research on impact of microgravity on plant molecular composition.


We are seeking a talented and motivated Junior/Mid-Level Data Engineer to join our growing team. The ideal candidate will have a strong foundation in data engineering principles, experience with data pipeline development, and a passion for working on and creating large data sets. You will work closely with our data scientists, software developers, plant scientists and other stakeholders to ensure the integrity, efficiency, and accessibility of our data.


  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Integrate data from various sources, ensuring data quality and consistency.
    • Laboratory equipment’s data (GS-MS, SPME etc.)
    • Text data
    • Image data
    • Other plant health analytics (NDVI, LAI etc.)
  • Collaborate with data scientists and analysts to support their data needs.
  • Optimize data workflows and improve data processing efficiency.
  • Troubleshoot and resolve data-related issues.
  • Participate in code reviews and contribute to a high-quality codebase.
  • Continuously learn and apply new data engineering technologies and best practices.
  • Manage & deploy databases and datalake
  • Define data gouvernance strategy for cross team applications


  • Master’s degree in Computer Science, Engineering, or a related field with 2 years of experience in data engineering or 5 years of experience as a data engineer.
  • Proficiency in SQL and NoSQL databases
  • Experience with data pipeline and ETL tools (e.g., Apache Airflow, Talend).
  • Experience with Elasticsearch is a plus
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is a plus.
  • Proficient in programming with Python. Go is a plus.
  • Strong problem-solving skills and attention to detail.
  • Good communication and teamwork abilities.

Preferred Qualifications

  • Experience with data modelling and database design.
  • Knowledge of data lakes
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge about machine learning and data analytics tools.


  • Paris, France.

Interstellar Lab is proud to be an equal opportunity employer.  Interstellar Lab does not discriminate on the basis of race, regional color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

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