Our client, a leading multi-product SaaS company, is seeking a Data Engineer (Software Engineer, Data) to join their Data & AI/ML Engineering team. In this role you will design, build, and maintain batch and streaming data pipelines that power fraud detection, recommendation engines, and personalization solutions. You will work with technologies such as Kafka, Spark (Databricks), 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. You will own pipeline performance, monitoring, testing, and reliability, and contribute to 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 a plus); experience with Spark on Databricks and Airflow (or similar); strong SQL, data modeling, relational DB knowledge; Nice to have: Docker, Kubernetes, Feature Stores, MLOps, ML pipelines, or SaaS/high-scale product environments. Benefits: Competitive salary with annual performance bonus; comprehensive medical; annual flight allowance; visa sponsorship; annual leave; 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.

Our client, a leading multi-product SaaS company, is seeking a Data Engineer (Software Engineer, Data) to join their Data & AI/ML Engineering team. In this role you will design, build, and maintain batch and streaming data pipelines that power fraud detection, recommendation engines, and personalization solutions. You will work with technologies such as Kafka, Spark (Databricks), 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. You will own pipeline performance, monitoring, testing, and reliability, and contribute to 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 a plus); experience with Spark on Databricks and Airflow (or similar); strong SQL, data modeling, relational DB knowledge; Nice to have: Docker, Kubernetes, Feature Stores, MLOps, ML pipelines, or SaaS/high-scale product environments. Benefits: Competitive salary with annual performance bonus; comprehensive medical; annual flight allowance; visa sponsorship; annual leave; 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.