The Story So Far: We're Building a General Brand in Real Estate

Huspy is one of the leading property technology companies in EMEA.

We've raised over $140 million (Series A and Series B) from the world's top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.

We've built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting?edge technology to one of the world's most traditional industries.

We're transforming how property transactions happen — faster, smarter, and better for everyone.

The Main Event: What You'll Drive, Build, and Own

Design and Scale Data Pipelines: Build and maintain reliable batch and streaming pipelines that connect our applications, events, and external sources to Snowflake, ensuring data flows seamlessly across our platform.

Streaming Data at Scale: Work with Kafka, Schema Registry, and event-driven architectures to power real-time data products and ensure downstream systems get trustworthy, well-structured events.

Pipeline Orchestration: Use Airflow to orchestrate complex workflows, automate dependencies, and ensure data availability for analytics and business processes.

Data Infrastructure & Cloud Services: Leverage AWS tools (ECR, ECS, S3, etc.) to build scalable, containerized data services and optimize storage, compute, and costs.

Data Quality & Observability: Implement testing frameworks, monitoring, and alerting for data pipelines to ensure reliability and trust at scale.





Infrastructure as Code: Manage data infrastructure with tools like Terraform, Helmfile, or CloudFormation, automating deployments and ensuring reproducibility.

Optimize for Scale and Performance: Modeling & Governance: Apply strong data modeling fundamentals (e.g., Kimball, Data Vault) and enforce governance around PII, compliance, and lifecycle management.

Automation & CI/CD: Implement testing, linting, and automated deployments for data pipelines to ensure high-quality, production-ready code.

The Perfect Match: What It Takes to Succeed at Huspy

Proven Experience: 4+ years in a Data Engineering role (or Analytics Engineering with strong pipeline/infrastructure experience).

Python First: Proficiency in Python for ETL, orchestration, and automation.

Airflow Practitioner: Hands?on experience building DAGs and managing workflows in Airflow (or equivalent orchestration tool).

Comfort working with event streaming systems (Kafka, Schema Registry) as well as traditional batch pipelines.

Cloud Native: Practical experience with AWS services (S3, ECR, ECS, IAM, etc.).

SQL & Warehousing Skills: Strong SQL and exposure to cloud warehouses (Snowflake preferred).

Ability to design data models that balance scalability, simplicity, and business needs.

Skilled at working with product, ops, and analytics teams to turn business requirements into working data solutions.

Hybrid in Dubai or Madrid, remote anywhere in the EU.

Or we offer relocation support to Dubai or Madrid, if preferred.

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📌 Data Engineer (AWS) · Hybrid Remote (Madrid)
🏢 HUSPY
📍 Madrid