Develop data-driven features and intelligence around navigation data, while building scalable pipelines for geospatial and mobility datasets.
Client Details
Our client is a prominent organization in the industrial and manufacturing industry, recognized for its forward-thinking approach and commitment to innovation. With operations spanning Türkiye and beyond, the company values technological advancement and operational excellence.
Description
- Analyze and enrich map/routing data.
- Develop models for navigation-related insights (traffic patterns, ETA improvements, behavior analytics).
- Create data pipelines that support navigation and future personalization features.
- Work with geospatial datasets and APIs.
- Collaborate with backend team to expose data-driven services.
- Strong Python expertise.
- Data processing frameworks (Spark, Pandas, SQL).
- Geospatial data handling:
- GeoJSON
- spatial indexing
- coordinate systems
- Machine learning fundamentals (prediction, clustering, anomaly detection).
- Data engineering experience:
- ETL/ELT pipelines
- cloud data platforms
- API-based data ingestion.
- Experience with PostgreSQL/PostGIS or similar.
- Navigation or mobility analytics experience.
- Experience with GPS traces / telemetry data.
- Real-time data processing (Kafka, stream pipelines).
- Experience on working with Open Street Maps.
Profile
- Built production data products.
- Worked with large-scale geospatial datasets.
- Strong collaboration with software engineers.
- Experience with Agentic AI and AI-supported software development
Job Offer
- Opportunity to work in a leading company in the industrial and manufacturing sector.
- Engaging and innovative work environment with cutting-edge technology.
- Permanent role offering long-term career growth opportunities.
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