T

Data Engineer (Software Engineer, Data)

talentone • United Arab Emirates
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AI Summary

Join our client's growing Data & AI/ML Engineering team to design, build, and maintain high-scale data platforms powering AI/ML products, fraud detection, recommendation engines, and personalisation solutions.

Key Highlights
Design, build, and maintain batch and streaming data pipelines
Work with technologies including Kafka, Spark, Airflow, and Python
Collaborate closely with data scientists and backend engineers
Key Responsibilities
Design, build, and maintain batch and streaming data pipelines
Work with technologies including Kafka, Spark, Airflow, and Python
Collaborate closely with data scientists and backend engineers
Technical Skills Required
Python Kafka Spark
Benefits & Perks
Competitive salary with annual performance bonus
Comprehensive medical insurance
Annual flight allowance
Nice to Have
Docker
Kubernetes
Feature Stores
MLOps
ML pipelines
SaaS/high-scale product environments

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

  • 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.




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