Data Engineer (Software Engineer, Data)

TalentOne; Dubai; On-site; AED 167,000 - 201,000; Full time

Benefits offered by this job

Salary range AED 15,000 to 18,000 per月

Comprehensive medical insurance

Annual flight allowance

Visa sponsorship

Annual leave entitlement

Learning & conference budget

Hybrid working model

Distributed engineering team

Job summary

TalentOne, in partnership with a leading multi-product SaaS company, seeks a Data Engineer to join its Data & AI/ML Engineering team in Dubai. Design, build, and maintain batch and streaming pipelines powering AI/ML products, fraud detection, and personalization, collaborating with data scientists and backend engineers.

Proficiency in Python (PySpark), Kafka, Spark on Databricks, and Airflow is essential. Hybrid work in Dubai, visa sponsorship, and a focus on scalable, production-ready data

Qualifications

• 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 Databricks and Airflow (or similar orchestration tools).
• Strong SQL, data modelling, and relational database knowledge.
• Nice to have: Docker, Kubernetes, Feature Stores, MLOps, ML pipelines, or SaaS/high-scale product environments.

Responsibilities

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

Skills

Python

PySpark

SQL

Data modelling

Relational databases

Tools

Kafka

Spark (Databricks)

Airflow

Docker

Kubernetes

Job description

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

• Salary range AED 15,000 to 18,000 per month plus performance based 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.