Data Engineer (Software Engineer, Data)

Our client, a leading multi-product SaaS company, has partnered with TalentOne to find a Data Engineer (Software Engineer, Data) to join their growing Data & AI/ML Engineering team. This is an exciting opportunity to work on high-scale data platforms powering AI/ML products, fraud detection, recommendation engines, and personalisation solutions in a collaborative, engineering-driven environment.

Location: Dubai (Hybrid)

About the Role

• Design, build, and maintain batch and streaming data pipelines that power fraud detection, recommendation engines, personalisation, and AI/ML products.

• Work with technologies including Kafka, Spark (Data bricks), Airflow, and Python to deliver scalable, production-ready data solutions.

• Collaborate closely with data scientists and backend engineers to ensure reliable, high-quality data pipelines.

• Own pipeline performance, monitoring, testing, and reliability while contributing to continuous platform improvements.

Requirements

3 years of experience in Data Engineering or Software Engineering (Data).

Strong Python skills, including PySpark.

Hands-on experience with Kafka and stream processing (Flink is a plus).

Experience with Spark on Data bricks and Airflow (or similar orchestration tools).

Strong SQL, data modelling, and relational database knowledge.

Nice to have: Experience with Docker, Kubernetes, Feature Stores, MLOps, ML pipelines, or SaaS/high-scale product environments.

Benefits

Competitive salary with annual performance bonus.

Comprehensive medical insurance.

Annual flight allowance.

Visa sponsorship.

Annual leave entitlement.

Learning & conference budget.

Hybrid working model (approximately 3 days per week in the Dubai office).

Opportunity to work with a distributed engineering team across Dubai and Europe, building cutting-edge AI/ML and data platforms.