Responsibilities

• Data Engineering: Source, evaluate, and extract geospatial data from various sources (APIs, open and commercial datasets, OSM, government portals, etc.)
• Data Quality: Develop data quality metrics. Build and maintain ETL/ELT pipelines for collecting, cleaning, validating, and deduplicating spatial data
• GIS Work: Create, process, and manage the core geospatial datasets (polygons, points of interest) that are the heart of our product (buildings, streets, parks, neighborhoods, stadiums, etc.)
• Product Analytics: Analyze user behavior relative to geographic locations. Identify patterns, anomalies, and opportunities for growth
• Presentation: Conduct deep spatial and product analysis, translate findings into product and business language, and present your conclusions, defending your point of view with data

Requirements

• Excellent knowledge of SQL, including experience with spatial extensions (e.g., PostGIS, BigQuery GIS)
• Strong experience with Python and its data stack (pandas, geopandas, requests, scikit-learn, etc.)
• Experience building ETL/ELT processes for data collection and processing
• Deep understanding of GIS concepts: coordinate systems, projections, geometry types, spatial operations, and queries
• Experience in product or data analytics: ability to work with product metrics, funnels, and user behavior analysis
• Self-driven, proactive, and comfortable working in a fast-paced startup environment

Conditions

• Exert direct influence on analytics culture and processes in an early-stage company
• Work in a hybrid setup from sunny Limassol, or remotely if you’re a great fit
• Relocation package (if applicable), and help with the work permit
• Competitive salary + launch-based performance bonuses
• Fast growth opportunities as we expand beyond Cyprus
• Comfortable office space with fruits and snacks
• Birthday gifts and welcome baby bonuses