Data Engineer - Actuarial & Insurance Analytics

Dubai Insurance Co; United Arab Emirates; On-site; AED 240,000 - 360,000; Full time

Job summary

Dubai Insurance Co in Dubai is seeking a Data Engineer for the Actuarial Services team to transform complex insurance data into actionable insights and drive analytics across the business.

The role focuses on designing scalable data pipelines, building automated workflows with Alteryx, SQL, and Python, and supporting reserving, pricing, and profitability analysis with robust data solutions.

Qualifications

• 3-7 years of experience in Data Engineering or analytics roles.
• Strong SQL, Python, and data modeling skills.
• Experience with BI tools and data warehousing concepts.
• Insurance industry experience preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines for actuarial and insurance data.
• Build and automate data workflows using Alteryx, SQL, and Python.
• Support actuarial functions including reserving, pricing, profitability analysis, and portfolio monitoring through data solutions.
• Integrate data from policy administration, claims, finance, and other systems.
• Improve data quality, governance, and controls across actuarial processes.
• Partner with actuaries, underwriters, finance, and IT to deliver analytics.
• Drive automation initiatives to reduce manual intervention.
• Support data visualization and reporting through Power BI and BI tools.

Skills

Data warehousing concepts

SQL

Python

Power BI

Tools

Alteryx Designer

Azure Data Platform

ETL/ELT

Job description

We're Hiring: Data Engineer - Actuarial & Insurance Analytics

Dubai, UAE

Are you passionate about turning complex insurance data into actionable insights We are looking for a Data Engineer to join our Actuarial Services team and play a key role in advancing our data and analytics capabilities.

What You'll Do

• Design, develop, and maintain scalable data pipelines for actuarial and insurance data.
• Build and automate data workflows using Alteryx, SQL, and Python.
• Support actuarial functions including reserving, pricing, profitability analysis, and portfolio monitoring through efficient data solutions.
• Integrate data from policy administration, claims, finance, and other business systems.
• Improve data quality, governance, and controls across actuarial processes.
• Partner closely with actuaries, underwriters, finance teams, and IT to deliver business-critical analytics.
• Drive automation initiatives that enhance efficiency and reduce manual intervention.
• Support data visualization and reporting through Power BI and other business intelligence tools.

What We're Looking For

3-7 years of experience in Data Engineering, Analytics Engineering, or BI Development

Strong experience with:

• Alteryx Designer
• SQL
• Python
• Data warehousing concepts
• Power BI

Experience working with:

• Azure Data Platform (preferred)
• ETL/ELT processes
• Large and complex datasets

Insurance experience is highly preferred, particularly within:

• General, Motor & Medical Insurance
• Actuarial Analytics
• Claims and Policy Data
• Pricing or Reserving Analytics