Junior Data Engineer

Property Finder

United Arab Emirates, Dubai

5-7 Years

This job is no longer accepting applications

Posted 2 months ago

Job Description

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 Data Engineer with a software engineering mindset to join our Data & AI team. This is not just a role for writing SQL scripts; it is an opportunity to build robust, scalable, and observable data infrastructure on the cloud.

You will work with a modern tech stack (Dagster, dbt, Clickhouse, AWS) to build the pipelines that power our analytics, machine learning, and GenAI products. If you care about code quality, automation, and Data as a Product, this role is for you.

Our Tech Stack

Languages: SQL, Python
Orchestration: Dagster (migrating from Airflow).
Data Stores: Redshift, Clickhouse, S3.
Transformation: dbt, Fivetran.
Cloud & Infra: AWS (ECS/EKS, Glue, Lambda, Athena)
IaC: Terraform with Terragrunt.
AI/GenAI: AWS Bedrock, LangChain, LLMs.

Key Responsibilities

Build & Orchestrate: Develop and maintain reliable ETL/ELT pipelines using SQL and Python. You will use Dagster to orchestrate dependencies, ensuring data flows correctly from source to destination.
Data Transformation: Use dbt to model raw data into clean, business-ready datasets (Star Schema) that enable stakeholders to self-serve.
Quality & Observability: Own the quality of your data. Implement tests (dbt tests, unit tests) and monitoring to ensure silent failures don't happen. You will troubleshoot pipelines when they break and fix the root cause.
Cloud Engineering: Work with AWS services (S3, DMS, Glue) and containerized environments (Docker/Kubernetes) to deploy your code.
Collaborate: Partner with Data Scientists and Product Managers to understand their data needs and deliver high-quality solutions.
Innovation: Support the team in integrating GenAI capabilities (LLMs, LangChain) into our engineering workflows.

What We Look For (Essential Experience)

Experience: 23 years of hands-on experience in Data Engineering.
Engineering Mindset: You treat data pipelines like software products. You are comfortable with Version Control (Git), code reviews, and testing.
SQL Mastery: You can write complex, efficient queries and understand data modeling concepts (e.g., Joins, Window Functions, Normalization).
Python Proficiency: You can write clean Python scripts for data manipulation and automation (beyond just notebook scripting).
Cloud Native: Familiarity with cloud data warehouses (Redshift, Snowflake, or BigQuery) and core cloud concepts (S3, IAM, Compute).
Modern ETL: Experience with modern transformation tools (like dbt)
Problem Solver: Excellent ability to investigate data issues. You don't just restart the job; you dig into the logs to find why it failed.
GenAI Interest: Familiarity with LLMs, AWS Bedrock, or LangChain is a huge plus.
CI/CD: Experience automating deployments using GitHub Actions, Jenkins, or similar.

Desired Experience (The Nice to Haves)

Infrastructure as Code: Familiarity with Terraform or Terragrunt.
Containerization: Experience running code in Docker or Kubernetes (EKS/ECS).
Streaming: Exposure to real-time data frameworks (AWS Kinesis, Kafka, SQS/SNS).
Data orchestration: Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles