Job description

The Junior Data Engineer role at Property Finder is focused on building reliable, scalable data pipelines that power analytics, AI/ML, and emerging Generative AI use cases across the organization. The role contributes to the core data ecosystem by developing and maintaining batch and streaming pipelines with a strong emphasis on reliability, performance, and cost efficiency. The position involves developing SQL, Python, and Spark/PySpark transformations, supporting analytics, reporting, machine learning workloads, and integrations with internal and external systems. The role also supports GenAI initiatives through building data flows for embedding generation, vector pipelines, and data preparation for LLM training and inference, while collaborating closely with Data Science, Analytics, Product, and Engineering teams. The Junior Data Engineer upholds data quality, testing, documentation, and governance standards, supports deployments and operational stability, and contributes to scalable data platform components that enhance data availability and performance for intelligent, data-driven products within Property Finder’s real estate technology ecosystem in the MENA region.