Lead Data Engineer

GAC Group; Dubai; On-site; AED 390,600 - 691,920; Full time

Job summary

GAC Group is seeking a Lead Data Engineer to architect, build, and operate the data platform that supports reporting, analytics, and self-service BI. You will ensure reliable, monitored data pipelines using Databricks, DBT, and Airflow.

You will collaborate with stakeholders to deliver reusable, trusted data products and scale a governed, secure data platform across teams. The role requires strong data engineering expertise, an operational mindset, and the ability to guide others in

Qualifications

• Degree in Computer Science, Engineering or similar.
• Master’s degree in computer science, Information Systems or related field preferable.
• Cloud certifications (Databricks, data build tools, Airflow, Astronomer, general tech and data certifications).
• Experience with Data Factory, Python, Git, Databricks, SQL Server, Power BI (data modelling and DAX development), Azure Platform, Linux OS Concepts, Airflow, Data Modelling – KIMBAL concepts, ETL knowledge.

Responsibilities

• Strong communication skills: effectively across all levels, engaging and inspiring at senior levels internally and externally, cultural awareness within a multi‑cultural corporate environment.

Skills

Data engineering

Databricks

Airflow

Python

SQL

Power BI

Data modelling

ETL

Azure

Git

Linux OS

Communication

English

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/IS

Tools

Data Factory

Databricks

Airflow

Astronomer

Power BI

SQL Server

Git

Azure

Python

Job description

Job Description

As Lead Data Engineer, you will help architect, build and run the data platform that supports reporting, analytics, and self-service BI across the GAC Group. A key part of the role is ensuring that our data pipelines are reliable, monitored, tested, and easy to support. We use Databricks, DBT, and Airflow through Astronomer, and need someone who can help us strengthen how we build, operate, and maintain production data flows.

You will work with business stakeholders, analysts, architects, and engineers to turn business needs into reusable and trusted data products. Beyond central reporting, you will also help develop a broader platform where teams can work with their own data in a governed, secure, scalable, and reliable way.

We are looking for someone with strong data engineering skills, a practical operational mindset, and the ability to guide others in building data solutions that work well in production.

Requirements

• Degree in Computer Science, Engineering or similar.
• Master’s degree in computer science, Information Systems or related field preferable.
• Cloud certifications (Databricks, data build tools, Airflow, Astronomer, general tech and data certifications).
• Experience with Data Factory, Python, Git, Databricks, SQL Server, Power BI (data modelling and DAX development), Azure Platform, Linux OS Concepts, Airflow, Data Modelling – KIMBAL concepts, ETL knowledge.
• Strong communication skills: effectively across all levels, engaging and inspiring at senior levels internally and externally, cultural awareness within a multi‑cultural corporate environment.
• Good spoken English.
• Adaptability to new tools, logical reasoning and problem solving.
• 5+ years of related working experience.