The company 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. The core purpose of the company is to change living for good in the region. Since its inception in 2007, the company has connected millions of property seekers with thousands of real estate professionals, providing a seamless experience that empowers both buyers and renters to make informed decisions.
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We are looking for a Junior Data Engineer to build reliable, scalable data pipelines and contribute to the core data ecosystem that powers analytics, AI/ML, and emerging Generative AI use cases. You will work closely with senior engineers and data scientists to deliver high-quality pipelines, models, and integrations that support business growth and internal AI initiatives.
Key Responsibilities:
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Core Engineering:
- Build and maintain batch and streaming data pipelines with a strong emphasis on reliability, performance, and cost efficiency.
- Develop transformations using SQL, Python, and Spark/PySpark to support analytics and ML workloads.
- Contribute to data model design and ensure adherence to high standards of quality and governance.
- Support integrations with systems, ensuring accurate and resilient data flows.
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GenAI & Advanced Data Use Cases:
- Maintain data flows that support Generative AI workloads (e.g., embedding generation, vector pipelines).
- Collaborate with teams to enable high-quality training datasets and develop retrieval pipelines.
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Collaboration & Delivery:
- Work with Analytics, Product, and Engineering teams to translate data requirements into reliable solutions.
- Participate in design reviews and contribute to scalable engineering practices.
- Uphold data quality, testing, and documentation standards.
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Professional Growth & Team Contribution:
- Demonstrate ownership of components of the data platform and share knowledge through code reviews and documentation.
- Deliver high-quality work on time with clarity and reliability.
Impact of the Role:
You will help extend the data foundation that powers analytics, AI/ML, and Generative AI initiatives across the company, improving data availability and performance for intelligent, data-driven experiences.
Tech Stack:
- Languages: Python, SQL, Java/Scala
- Streaming: Kafka, Kinesis
- Data Stores: Redshift, Snowflake, ClickHouse, S3
- Orchestration: Dagster (Airflow legacy)
- Platforms: Docker, Kubernetes
- AWS Services: DMS, Glue, Athena, ECS/EKS, S3, Kinesis
- ETL/ELT: Fivetran, dbt
- IaC: Terraform + Terragrunt
Desired Qualifications:
- 5+ years of experience as a Data Engineer.
- Strong SQL and Python skills; good understanding of Spark/PySpark.
- Experience building and maintaining production data pipelines.
- Practical experience with cloud-based data warehouses and data lakes.
- Familiarity with orchestration tools and AWS services for data processing.
Preferred Experience:
- Background in real estate.
- Familiarity with ETL tools and real-time analytics solutions.
- Experience with BI tools and tagging/tracking tools.
- Knowledge of GCP or Google Analytics is a plus.
Language Requirements:
English proficiency required.
At the company, we believe that talent thrives in an environment where individuals can be their best selves while making a significant impact.
