SKIPPER NDT

About the Company

Skipper NDT is the market leading deeptech technology enabling buried pipeline maintenance automation.

The company leverages the most recent hardware and software innovations, combined with magnetic measurements, to provide pipeline operators with certainty in complex environments. The objective is to deliver maintenance departments reliable data in a safe and cost-effective way to enable rapid pipeline integrity decisions. Skipper NDT enables its customers can comply with the highest industry standards and legal requirements while ensuring the safety of communities and the environment.

Skipper NDT products and services include:
• Geospatial positioning of pipeline and electrical cables under water ways
• Bending strain assessment in case of geohazard movements
• Identification and localisation of abandoned wells
• Decommissioned site buried structure identification and geospatial positioning

The Skipper NDT payload, fitted under a commercial drone, can be operated by any qualified and trained third party resource (service providers or pipeline operator teams).

Listed Jobs

Company Name

SKIPPER NDT

Job Title

SIG et géomatique / Orienté Développement Python F/H

Job Description

**Job title** SIG and Geomatics / Python Development Focus (Internship) **Role Summary** An internal development internship focused on magnetic data processing, QGIS geospatial workflows, and Python automation. The role blends technical debugging, code refactoring of AI-generated scripts, documentation of best practices, and collaboration with software teams to enhance data pipelines and tooling. **Expectations** * 6‑month internship at the end of a Master’s (M2) or engineering school program. * Demonstrated ability to work autonomously while communicating progress and issues. * Strong industrial context awareness and initiative‑driven mindset. * Mandatory written and spoken proficiency in English; French skills are a plus. * Commitment to deliver high‑quality, maintainable code and thorough documentation. **Key Responsibilities** 1. Process and analyze magnetic datasets acquired by field teams using proprietary and open‑source tools (QGIS, Python). 2. Identify, report, and resolve bugs in existing code, including AI‑generated code, and propose complementary features. 3. Refactor and clean code to improve debuggability, maintainability, and adherence to quality standards. 4. Document best practices for integrating generative AI tools into geospatial workflows. 5. Automate GIS data processing tasks with Python and relational databases. 6. Communicate insights, challenges, and solutions promptly to the software and operations teams. 7. Maintain rigorous data structuring and formatting across varied input and output formats. **Required Skills** * Deep experience with QGIS and geospatial information systems. * Proficiency in Python; familiarity with other programming languages accepted. * Ability to debug, refactor, and improve existing code, especially AI‑generated snippets. * Strong data cleaning, structuring, and transformation capabilities. * Knowledge of magnetic, electromagnetic, or geophysical signal processing is advantageous. * Basic understanding of statistics, machine learning, and relational databases. * Excellent written and verbal communication in French and English. * Proficiency with Microsoft Office (Word, PowerPoint, Excel). **Required Education & Certifications** * Final‑year Master’s (M2) or engineering school student with relevant coursework in geospatial technology or computer science. * Fluency in English required; French language proficiency preferred.

Paris, France

Hybrid

20-11-2025