Senior Data Engineer

hyre; Dubai; On-site; AED 300,000 - 400,000; Full time

Job summary

A leading technology company in Dubai is seeking a Senior Data Engineer to enhance their backend data platform for analytics and reporting. This hands-on role involves designing and operating ETL/ELT pipelines, building Airflow DAGs, and collaborating with stakeholders to implement governance standards. Ideal candidates should have 8+ years of experience, a strong foundation in T-SQL and SQL Server, and hands-on expertise in data modeling. A proactive approach and ability to work independently are essential. APPLY NOW!

Qualifications

• 8+ years in data engineering with a strong backend focus.
• Expertise in T‑SQL and SQL Server performance.
• Hands-on experience with Airflow and Python.

Responsibilities

• Own and deliver scalable data solutions.
• Build and maintain Airflow DAGs for data processes.
• Design star/snowflake models and automate workflows.

Skills

Data engineering with backend focus

T-SQL

SQL Server performance tuning

Airflow

Python

Data modeling

Collaboration and mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

GitHub

Power Automate

Job description

As a Senior Data Engineer, you will own and evolve the backend data platform that powers analytics and reporting across the business. You'll design and operate ETL/ELT pipelines, engineer SQL Server environments, orchestrate workflows, model data for analytics, and enforce governance and CI/CD standards. This is a hands-on engineering role with high ownership, technical depth, and direct business impact.

Key Responsibilities:

Own the data engineering backlog and deliver scalable data solutions.

Build and maintain Airflow DAGs for ingestion, transformation, and data quality.

Develop production-grade T‑SQL with strong performance tuning.

Data Modeling & Automation

Design star/snowflake models, SCDs, and conformed dimensions.

Automate workflows using Python and Power Automate.

Implement RBAC, data validation tests, freshness/quality checks.

Delivery & Collaboration

Enforce GitHub workflows (branching, PRs, code reviews) and CI/CD pipelines.

Maintain documentation, release notes, and deployment runbooks.

Partner with stakeholders and coach BI developers/analysts on modeling and SQL best practices.

Technical Requirements:

Bachelors degree in Computer Science or related field.

8+ years in data engineering with strong backend focus.

Expert T‑SQL and SQL Server performance/DBA skills.

Hands‑on Airflow and Python experience.

Strong data modeling (star/snowflake, SCDs) and governance foundations.

Experience with GitHub and CI/CD.

Forex/CFD or online trading domain experience is required.

Person Specification:

Strong communication skills and ability to simplify technical concepts.

Analytical, detail‑oriented, and quality‑driven.

Proactive, ownership‑focused, and comfortable working independently.

Collaborative team player with mentoring experience.

If youre passionate about building reliable, scalable data platforms in a high‑impact environment, then APPLY NOW!