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.