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About the Job:
The Story So Far: We’re Building a Global Brand in Real Estate
Huspy is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and additional European markets by 2026. We possess the largest portion of the UAE mortgage market and are among the fastest-growing players in every European city we’ve entered.
We’ve raised over $140 million from top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through innovative technology and agent-first tools. Our SuperApp empowers real estate agents and mortgage brokers with cutting-edge technology, transforming how property transactions happen — faster, smarter, and better for everyone.
Work Conditions:
- On-site
- Full-time
- Hybrid options available in Dubai or Madrid, with remote work options for candidates located anywhere in the EU. Relocation support to Dubai or Madrid is also offered if preferred.
Key Responsibilities:
- Architect our Data's Future: Design and build the transformation layer of our data stack using dbt and Snowflake, creating clean, reliable, and scalable data models that serve as the single source of truth.
- Guarantee Data Trust and Integrity: Develop automated reconciliation processes to validate raw data from Kafka against our core application portals, ensuring trusted data sets.
- Build a Self-Serve Platform: Empower business users by developing curated tables in our BI tool, Looker, enabling true self-service analytics.
- Automate for Quality and Scale: Implement CI/CD pipelines and GitHub automations that validate pull requests before merging, ensuring high standards for team scalability.
- Implement Modern Data Governance: Develop strategies for managing Personally Identifiable Information (PII) and oversee the full data lifecycle to ensure a secure platform.
- Optimize for Scale and Cost: Understand Snowflake usage and AWS costs, implementing best practices for platform efficiency.
Qualifications:
- Proven Experience: 4+ years in an Analytics Engineering or data modeling-heavy Data Engineering role.
- dbt Proficiency: Expert-level knowledge of dbt (Core or Cloud), including macros, packages, testing, and project structure.
- SQL & Data Warehousing Expertise: Advanced SQL skills and experience with cloud data warehouses, preferably Snowflake.
- Strong Modeler's Mindset: Understanding of dimensional modeling concepts (e.g., Kimball methodology) and ability to design clear, comprehensive data models.
- Programming Skills: Proficiency in Python for scripting, automation, and data pipeline development.
- Cloud Native: Experience with cloud platforms, preferably AWS.
- Excellent Communicator: Ability to translate complex technical concepts to non-technical stakeholders, translating business requirements into robust data models.
Preferred Experience:
- Experience with BI tools like Looker (LookML).
- Familiarity with event streaming data from Kafka.
- Knowledge of data governance tools.
- Experience in cost optimization in a cloud data warehouse environment.
