¡Activa las notificaciones laborales por email!
Mejora tus posibilidades de llegar a la entrevista
Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.
A leading company is seeking an experienced Software Engineer to develop advanced marine mapping applications. The role involves processing geospatial data and building data pipelines using technologies like Python and Node.js. Flexible working hours and remote options are available, providing opportunities for professional growth.
Our mission is to build intuitive, reliable, and cutting-edge navigation solutions via user-centric design and modern development principles. We are seeking an experienced Software Engineer to join our team and help build advanced marine mapping applications. In this role, you will be responsible for processing and integrating various geospatial data sources to create high-quality marine maps for our customers. Our geospatial tooling and pipelines are built on open-source technologies (OSM, QGIS, PostGIS, GDAL, Mapbox stack, etc.).
Design, develop, and maintain data processing pipelines using Python, Node.js, and other relevant technologies
Implement high-performance, scalable solutions for processing large volumes of geospatial data, including :
Official S57 data from hydrographic offices
Point cloud data from multi-beam sonar surveys
Other crowdsourced spatial data
Implement GIS data management best practices to ensure data integrity and reliability
Collaborate with cross-functional teams to integrate data processing systems with our marine mapping applications
Continuously improve our data processing architecture, methodologies, and code base
Stay current with software engineering best practices and emerging technologies in big data processing and GIS
5+ years of professional software engineering experience
Strong programming skills in Python and Node.js
Experience working with geospatial databases, mainly PostGIS
Demonstrated ability to design and implement efficient, scalable data pipelines
Strong understanding of software engineering principles, design patterns, and best practices
Proficiency in Linux / Unix environments and shell scripting
Experience with version control systems (Git) and CI / CD pipelines
A strong portfolio of coding projects or open-source contributions related to data processing or GIS
Proven track record of building and maintaining production-grade data pipelines
Ability to write high-performance code, when necessary, using C++ or equivalent
Knowledge of machine learning techniques for geospatial data analysis
We also offer flexible working hours, remote work options, and opportunities for professional development and growth.
If you enjoy working with geospatial data, and have the technical chops to build robust data pipelines, we'd love to hear from you!
J-18808-Ljbffr
J-18808-Ljbffr