Senior Data Engineer – Snowflake / Azure

Orbis Group; Doha; On-site; QAR 320,000 - 520,000; Full time

Job summary

Orbis Group in Doha, Qatar, is hiring a Senior Data Engineer to join a newly established Data & AI function. You will help run and evolve a cloud Data Warehouse, enabling modern AI capabilities and supporting business transformation.

You will work with Data Scientists and Modellers, build scalable, secure pipelines on Azure and Snowflake, and guide ML/GenAI adoption across Investment, Risk, Finance and Operations teams. Relocation to the Middle East is required.

Qualifications

• 5+ years in cloud data engineering with Azure
• 2+ years working with Snowflake (configuration, deployment, maintenance)
• Strong commercial Python experience (scikit-learn, pandas, numpy)
• Exposure to AI capabilities such as Snowflake Cortex AI and Azure AI Foundry

Responsibilities

• Build scalable, secure cloud data solutions for multiple teams (Investment, Risk, Finance, Operations)
• Manage and improve the cloud Data Warehouse (Azure, Snowflake)
• Design and deploy data pipelines to support analytics, ML, and GenAI development
• Advise on tech strategy to enable ML/GenAI adoption across the business

Skills

Azure

Snowflake

Python

Pandas

Scikit-learn

Tools

Azure

Snowflake

Python

scikit-learn

pandas

numpy

Job description

A leading Investment Management firm in Qatar is building out a new Data & AI function, and they're looking for a Senior Data Engineer with excellent Azure and Snowflake experience to join on a permanent basis.

You'll sit alongside Data Scientists and Data Modellers, helping run and evolve their cloud Data Warehouse, laying the foundations for modern AI capabilities and playing a key role as the business goes through a major period of data transformation.

What you'll be doing:

• Building scalable, secure cloud data solutions to be leveraged across the organisation including Investment, Risk, Finance and Operational teams
• Managing and improving the cloud Data Warehouse (Azure, Snowflake)
• Designing and deploying data pipelines that support advanced analytics, Machine Learning, and GenAI development
• Acting as a go-to voice on tech strategy - helping the business adopt ML and GenAI capabilities effectively

What you'll bring:

• 5+ years in cloud data engineering with Azure, including hands-on experience building and maintaining cloud Data Warehouses
• 2+ years working with Snowflake (configuration, deployment, maintenance)
• Strong commercial Python experience (scikit-learn, pandas, numpy, etc.)
• (Preferably) Exposure to relevant AI capabilities such as Snowflake Cortex AI and Azure AI Foundry

Please note: Candidates MUST be willing to relocate to the Middle East full-time in order to be considered