Senior Data Modeler

Founded in August 2020, Huspy started as a digital mortgage platform and quickly evolved into the largest proptech company in the EMEA region. Backed by leading investors such as Sequoia, Balderton, Founders Fund, and Olayan, we have experienced rapid growth with offices in Dubai, Abu Dhabi, Madrid, and Valencia. Our mission is to revolutionize the real estate industry by building an all-in-one super app designed to empower agents and mortgage brokers.

The Main Event: What you'll do 

Our Data team is central to our success, providing the insights and infrastructure needed to support growth and enable data-driven decisions. Join us and be part of a forward-thinking team where your contributions will make a lasting impact!

Huspy is looking for an experienced Data Modeler to join our innovative Data team. As a Data Modeler, you will play a crucial role in shaping our data architecture by translating business needs into robust data models. Your work will enable our teams to make data-driven decisions with efficiency and accuracy. We’re seeking a candidate with deep domain expertise, up-to-date knowledge of industry best practices, and a proactive approach to building scalable data solutions.

Responsibilities:

• Collaborate with Stakeholders: Work closely with business units and data analysts to understand and translate their requirements into scalable, efficient data models that meet our current and future needs.
• Develop and Maintain Data Models: Design, develop, and maintain conceptual, logical, and physical data models on the data warehouse platform to support business processes
• Data Advocacy: Act as a data advocate in discussions with stakeholders, guiding data-driven decisions and fostering a culture of data literacy.
• Dependency and Project Management: Manage dependencies and timelines effectively, ensuring alignment with project goals.
• Optimize Data Systems: Continuously enhance data systems for improved data quality, reliability, and delivery speed.
• Data Governance Standards: Contribute to establishing data governance standards and best practices across the organization.

The Perfect Match: What you bring

• Educational Background: Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree is a plus.
• Experience: Minimum of 5 years of experience in data modeling or a similar role.
• Data Modeling Expertie: Proficient in conceptual, logical, and physical data modeling, with strong knowledge of data warehousing concepts and schemas. 
• Technical Proficiency: Advanced SQL skills and experience with data manipulation languages like python; familiarity with Snowflake (preferred) or similar platforms.
• ETL Skills: Strong experience with ETL processes for data extraction, transformation, and loading, ensuring data is clean, accurate, and accessible.
• Data Management Knowledge: Solid understanding of data management practices and ETL processes, ensuring data is clean, accurate, accessible, and governed.
• Analytical and Problem-Solving Skills: Strong analytical skills and a detail-oriented approach to translating complex business requirements into data solutions.
• Communication Skills: Excellent communication skills to convey complex data concepts clearly to both technical and non-technical stakeholders.
• Collaborative Spirit: Comfortable working in cross-functional teams and managing relationships with analysts, and data engineering.

What will set you apart

• Experience with Our Tool Stack: Hands-on experience with Tableau, Snowflake, db, and Airflow is a strong plus.
• Experience with Our Tool Stack: Hands-on experience with Snowflake, db, Airflow, and Tableau is a strong plus.
• Experience in Data-Driven Organizations: Background in a startup or fast-paced environment where data plays a key role in decision-making.
• Familiarity with Data Governance: Experience contributing to data governance frameworks and standards for enhanced data quality and consistency.