GIS Intern

Descripción del puesto:

Job Summary

The Automated Data Processing team at TomTom builds and maintains scalable, cloud-based pipelines that transform raw geospatial data into high-quality map products. We combine geospatial engineering with modern data platforms and emerging AI-driven automation to continuously improve accuracy, speed, and coverage of our data.
We are looking for a curious, self-driven Geospatial Intern to join our Automated Data Processing team. This is a great opportunity for a recent or soon-to-graduate student to apply their geospatial education in a real-world, industry-scale data processing environment, while gaining hands-on exposure to cloud platforms, data orchestration tools, and Agentic AI-driven automation. The intern will work alongside experienced engineers and analysts, contributing to data quality checks, pipeline support, dashboarding, and exploration of AI-assisted workflows.

What you'll do

* Support the automated data processing pipeline for geospatial datasets, assisting with data validation, quality checks, and issue resolution.
* Work with structured and spatial data stored in Postgres/PostGIS databases to query, analyze, and troubleshoot data.
* Explore and support use cases involving AWS cloud services for data storage, processing, and pipeline execution.
* Contribute to data exploration and transformation tasks using Databricks.
* Build or enhance Power BI dashboards and reports that turn data quality metrics and pipeline performance into clear business insights - applying data-analysis and reporting skills central to a business analyst role.
* Analyze existing manual and repetitive workflows, identify automation opportunities, and contribute to Agentic AI-driven solutions that streamline geospatial data processing - ideal for candidates who enjoy process analysis and workflow optimization.
* Document processes, requirements, and findings in clear, structured reports to support knowledge sharing and stakeholder communication - a core business-analyst skill applicable across technical and geospatial domains.
* Collaborate with cross-functional teams (GIS Engineers and Production Engineers) to understand data requirements and pipeline goals.

What you'll need

* Bachelor's or Master's degree (completed or in final year) in Geoinformatics, GIS, Geography, Computer Science (BCS), or a related technical/analytical field.
* Basic understanding of geospatial concepts, including coordinate systems, spatial data formats (Shapefile, GeoJSON, etc.), and map data structures.
* Introductory-level familiarity with cloud computing concepts, ideally AWS basics (storage, compute services).
* Basic to moderate SQL querying skills with PostgreSQL/PostGIS.
* Good-to-have, basic exposure to Databricks notebooks and data processing.
* Basic to moderate exposure to Power BI dashboard and report building.
* Basic exposure to AI/Agentic AI concepts and their application to automating data workflows. Basic programming/scripting knowledge (Python preferred) is a plus

Key attributes

* Innovative: enjoy finding smarter, more efficient ways to solve problems.
* Open-minded: comfortable learning new tools, technologies, and approaches quickly.
* Explorer mindset: curious, self-motivated, and not afraid to dig into unfamiliar systems or data.
* Strong communicator and team player who works well in a fast-paced environment. Detail-oriented, with a genuine interest in geospatial data and its real-world applications

What you'll gain

What You Will Gain

* Hands-on experience with industry-scale geospatial data processing pipelines.
* Exposure to modern cloud, data engineering, and BI tools used in production environments.
* Early exposure to Agentic AI applications in geospatial data automation, a rapidly growing field.
* Mentorship from experienced geospatial and data engineering professionals.
* A strong foundation for a career in geospatial data engineering, GIS analytics, or cloud-based data platforms.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us