Data engineer (Geospatial)
Posted Updated
Description
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.
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.