Data engineer (Geospatial)

Company Overview

A global consulting and technology services firm focused on helping organizations drive business excellence through digital transformation, data & AI, enterprise architecture, managed services, and sustainability/ESG initiatives.

The company combines business strategy consulting with engineering and technology delivery, enabling organizations to modernize operations, leverage data-driven insights, and build sustainable business solutions.

Join the organization to work on diverse, high-impact digital and AI transformation projects as part of a global, growth-focused team.

Employment & Project:

This is a full-time opportunity with the organization, where you will be deployed on a project with a leading US-based organization in the oil & gas industry.

Role overview:

5-10 Years of Experience

• Core Data Engineering: 5–10 years with strong hands-on Python, SQL, Spark/PySpark and production ETL/data pipelines.
• Geospatial – Mandatory: Genuine experience working with geospatial/location datasets — coordinates, latitude/longitude, GPS, maps, satellite imagery, spatial datasets, etc.
• End-to-End Pipeline Ownership: Should have experience designing/building scalable data pipelines and architecture, including orchestration, data processing, storage and production support.
• Cloud & Scale: Any cloud (AWS/Azure/GCP) is acceptable, but should have hands-on experience processing large-scale data using cloud/data-platform technologies.
• Hands-on + Production Mindset: Looking for someone who remains technically hands-on and has experience with monitoring, data quality, troubleshooting, optimisation and production deployments.