Data Automation Engineer (GIS Focus)

Full time- Aalborg or Copenhagen

At MapsPeople, we are entering a pivotal chapter of AI-led transformation and growth. As our indoor mapping products expand globally, we are modernizing the technical foundation that powers our spatial data workflows. We are therefore looking for a technically strong Data Automation Engineer with deep GIS expertise and solid Python capabilities to take ownership of our spatial data automation foundation and help scale it to the next level.

The Role

You will join a lean, high-performing engineering team where data automation, spatial intelligence, and backend systems intersect. This is a critical technical role with direct influence on platform reliability, AI-readiness, and the scalability of our indoor mapping infrastructure.
You will be responsible for maintaining and evolving a sophisticated geospatial automation stack that integrates GIS tooling, backend services, cloud infrastructure, and ML-supporting pipelines.

What you will do

Advanced GIS & Spatial Automation Ownership
Own and evolve spatial automation pipelines: Maintain and improve automated ingestion, validation, transformation, and publishing of indoor spatial datasets.
Architect and optimize spatial databases: Design and tune high-performance geospatial schemas and queries in

• PostGIS and QGIS
  

Automate complex GIS workflows: Replace manual production steps with reliable Python-based processing.
Spatial performance engineering: Implement indexing strategies, geometry processing optimizations, tiling, and topology validation to support large-scale deployments.
Backend spatial services: Develop and maintain automation and integration services aligned with a modern, event-driven architecture.

Platform Evolution & AI Enablement

ML-aware data engineering: Support production ML initiatives by building structured, validated, and reproducible spatial data pipelines.
Cloud-native engineering: Contribute to containerized and event-driven deployment of spatial services.
Integration & API support: Ensure geospatial datasets are reliably exposed via APIs and backend systems.
Data quality & observability: Maintain strong monitoring, validation, and QA frameworks across spatial pipelines.
Cross-functional collaboration: Work closely with Map Production, Engineering, AI/ML teams, and Product to ensure technical excellence and operational continuity.

We imagine you come with

Minimum 3–5+ years of hands-on GIS experience in production environments.
Strong practical experience with:

• QGIS
• PostGIS

Strong programming skills in:

• Python (automation, spatial processing, ETL pipelines, validation tooling)
• Airflow or other data orchestration tools
  

Advanced SQL skills with experience writing complex spatial queries.

Deep understanding of:

• Vector and raster data structures
• Coordinate systems and projections
• Spatial indexing and geometry optimization
• Topology validation and data integrity enforcement
• Indoor mapping models or building-related spatial data (strong advantage)
• Experience working with cloud platforms (GCP, AWS, or Azure).
• Experience contributing to event-driven systems or microservices architectures.
• Fluency in English (written and spoken).

Strongly Preferred

• Background in machine learning, computer vision, or advanced data processing.
• Experience building ML-supporting pipelines or working alongside ML engineers.
• Experience with containerization (Docker, Kubernetes).
• Experience in Mapping, Smart Buildings, PropTech, or Spatial Data platforms.
• A strong engineering mindset with attention to robustness, reproducibility, and system performance.
• Comfort working independently in a scale-up environment with high ownership expectations.

What you get

• Technical Depth & Impact: Own and evolve the automation backbone of a global indoor mapping platform.
• AI-Driven Growth Phase: Contribute directly to the operationalisation of ML within a spatial SaaS product.
• Autonomy & Responsibility: Work in a lean team where your technical decisions shape long-term architecture.
• International Collaboration: Engage with teams across the US, Canada, Denmark, and Romania.
• Comprehensive Benefits: Competitive compensation, flexible work arrangements, and strong professional development opportunities.