About the Job:
Huspy is a leading property technology company headquartered in EMEA, launched in 2020. We operate in multiple cities across the UAE and Spain, with plans to expand into Saudi Arabia and three more European markets by 2026. Currently, we hold the largest portion of the UAE mortgage market and are a fast-growing entity in every European city we have entered. Supported by over $140 million in investments from top investors such as Sequoia Capital and Balderton Capital, we are transforming the homebuying journey through advanced technology and agent-first tools.
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As a Data Engineer, you will be involved in shaping the future of the company. Your responsibilities will include:
- Designing and Scaling Data Pipelines: Build and maintain reliable batch and streaming pipelines, ensuring seamless data flow across our platform.
- Streaming Data at Scale: Work with Kafka, Schema Registry, and event-driven architectures for real-time data products.
- Pipeline Orchestration: Use Airflow for automating complex workflows and ensuring data availability for analytics and business processes.
- Data Infrastructure & Cloud Services: Utilize AWS tools to construct scalable data services and optimize storage and costs.
- Data Quality & Observability: Implement testing frameworks and monitoring for data reliability.
- Infrastructure as Code: Automate deployment processes with tools like Terraform or CloudFormation.
- Optimize for Scale and Performance: Improve throughput, latency, and cost efficiency of data pipelines.
- Modeling & Governance: Apply data modeling fundamentals and enforce data governance.
- Collaboration for Impact: Partner with various teams to translate requirements into efficient data solutions.
- Automation & CI/CD: Implement practices for high-quality, production-ready code in data pipelines.
Work Conditions: On-site, Full-time; Hybrid in Dubai or Madrid, with remote options available anywhere in the EU. Relocation support to Dubai or Madrid is also offered.
Language Requirements: Not specified, but proficient English is typically assumed in a multinational work environment.
Qualifications:
- 4+ years of experience in a Data Engineering role or Analytics Engineering with significant pipeline/infrastructure experience.
- Proficiency in Python for ETL, orchestration, and automation tasks.
- Hands-on experience with building DAGs and managing workflows using Airflow (or an equivalent tool).
- Familiarity with event streaming systems (Kafka, Schema Registry) as well as traditional batch pipelines.
- Practical experience with AWS services (S3, ECR, ECS, IAM, etc.).
- Strong SQL skills, with exposure to cloud data warehouses (Snowflake preferred).
- Ability to design scalable, simple data models and work collaboratively with various teams to create data solutions.
Join us in transforming the real estate industry with innovative technology and impactful solutions.
