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Breega Logo Breega · IT - Software Development

Software & Data Engineer Intern

France, Paris · Job Posted February 14, 2026
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Job Description

Join Entalpic's Platform team and contribute to the core software foundations of our data stack while learning how data and software engineering practices enable advanced AI and scientific workflows. Your mission will be to help design, implement, and maintain a robust, scalable, and maintainable data infrastructure and internal data platform.

Job Responsibility

  • Data Engineering Implementation: Help build and maintain data pipelines that process and integrate multimodal data including simulation results, scientific text, and experimental measurements
  • Data Storage and Organization: Contribute to the implementation and organization of data storage solutions, ensuring data is well-structured, accessible, and documented
  • Automation and Tooling: Write scripts to automate data ingestion, cleaning, and transformation tasks under the guidance of senior engineers
  • Data Visualization and Analytics: Support the creation of basic data visualizations and analytical dashboards to help teams explore datasets, monitor data quality, and gain insights from experimental, simulation, and textual data
  • Applied ML Research: Prototype end-to-end pipelines using state-of-the-art LLMs for chemical entity extraction and explore ranking methods to improve data quality and retrieval for downstream AI systems
  • Data Quality and Documentation: Assist with data validation, basic lineage tracking, and documentation to improve data reliability and reproducibility
  • Infrastructure Collaboration: Work with data engineers, data scientists, and DevOps to understand how data systems are deployed and scaled on cloud platforms such as AWS or GCP
  • Cross-team Collaboration: Interact with scientists and engineers to understand data needs and help translate them into practical data solutions

Requirements

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field
  • Strong interest in data engineering, data systems, and infrastructure for machine learning or scientific applications
  • Proficiency in Python and familiarity with at least one other programming language is a plus
  • Foundational knowledge of SQL and relational databases, with curiosity about NoSQL systems
  • Understanding of core data concepts such as ETL, data modeling, and data pipelines
  • Must be comfortable working in English in a technical environment
  • Motivated, curious, and eager to learn in a fast-paced startup setting

Nice to have

  • Exposure to cloud platforms such as AWS or GCP through coursework, projects, or internships
  • Interest in machine learning, AI systems, or scientific computing
  • Familiarity with Git and collaborative software development workflows
  • Familiarity with containerization tools such as Docker
  • Interest in materials science, chemistry, or physics is a strong plus but not required

What we offer

  • Competitive salary + full reimbursement of your transport card
  • Flexible work environment: Remote-Friendly with a minimum of 3 days in Paris offices per week (Station F)
  • 1 paid day off per month
  • Professional development opportunities: access to conferences and internal learning sessions
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