Senior Data Engineer

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose:
To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

We are looking for a Senior Data Engineer to design, build, and scale the core data infrastructure that powers analytics,
AI/ML
, and Generative AI solutions across the organization. You will own end-to-end data pipeline development, drive architectural decisions, and ensure our data ecosystem is reliable, scalable, cost-efficient, and optimized for advanced AI use cases.

• Architect, build, and optimize end-to-end data pipelines (batch + streaming) with a strong focus on performance, scalability, and cost efficiency.
• Design and maintain high-quality data models to support diverse analytical, ML, and GenAI workloads.
• Optimize SQL, Python, Spark/PySpark, and transformation workflows for performance at scale.
• Maintain and evolve data integrations across internal and external systems.
• Contribute to platform engineering, infrastructure automation, and the reliability of the data environment.

• Lead architecture discussions, influence technical direction, and propose scalable, future-proof solutions.
• Build data solutions that are innovative, modern, and avoid legacy approaches.
• Contribute to the development of self-service data layers enabling stakeholders across Product, Engineering, DS/ML, and Commercial teams.

• Integrate Generative AI capabilities into data engineering workflows (data augmentation, enrichment, vectorization, embeddings, LLM integration, etc).
• Build and maintain the data foundations required for AI/ML platforms (feature pipelines, real-time data flows, retrieval infrastructure).
• Collaborate with ML and GenAI teams to ensure data architecture supports model training, inference, and evaluation at scale.

• Work closely with cross-functional teams (Data Science, Product, ML, Dev Ops, Analytics, Commercial) to deliver data solutions that drive business impact.
• Uphold high standards of data quality, governance, and reliability.
• Mentor other engineers and contribute to building a strong engineering culture.
• Communicate clearly and manage stakeholders to align on priorities and timelines.

As a Senior Data Engineer, you will shape the data backbone that powers strategic decision-making, AI initiatives, and next-generation product features. Your work will directly elevate the organization’s ability to build intelligent, GenAI-powered experiences and deliver scalable, high-impact data solutions.

• Languages:
  
  Python, SQL
• Streaming:
  Kafka, Kinesis
• Data Stores:
  Redshift, Click House, S3
• Orchestration:
  Dagster
• AWS: EKS/ECS, DMS, Glue, Athena, Lambda, Bedrock, Quick Suite, DynamoDB
• ETL/ELT:
  Fivetran, dbt
• IaC:
  Terraform + Terragrunt

• 7+ years as a Data Engineer, working with large-scale, production-grade data systems.
• Expert in SQL, Python, Spark/PySpark, and modern data warehousing techniques.
• Strong AWS experience, including serverless and scalable architectures.
• Proven experience designing performant, cost-efficient data pipelines (batch + streaming).
• Deep understanding of dimensional modeling, data warehouses, and industry best practices.
• Proficient with orchestration tools (Dagster, Airflow, Step Functions).
• Hands-on experience building automation and CI/CD workflows for data platforms.
• Practical experience applying…