Data Engineer
Pubblicato il 20-10-2026 - Huspy in Italia
h3The Story So Far: We’re Building a Global Brand in Real Estate /h3pHuspy is one of the leading property technology companies in EMEA.br/Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.br/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.br/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.br/We’re not slowing down. The question is: will you be part of what’s next? /ph3The Main Event: What You’ll Drive, Build, and Own /h3ulliDesign 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. /liliStreaming 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. /liliPipeline Orchestration: Use Airflow to orchestrate complex workflows, automate dependencies, and ensure data availability for analytics and business processes. /liliData Infrastructure Cloud Services: Leverage AWS tools (ECR, ECS, S3, etc.) to build scalable, containerized data services and optimize storage, compute, and costs. /liliData Quality Observability: Implement testing frameworks, monitoring, and alerting for data pipelines to ensure reliability and trust at scale.
/liliInfrastructure as Code: Manage data infrastructure with tools like Terraform, Helmfile, or CloudFormation, automating deployments and ensuring reproducibility. /liliOptimize for Scale and Performance: Continuously improve the throughput, latency, and cost efficiency of pipelines, ensuring the platform scales with the business. /liliModeling Governance: Apply strong data modeling fundamentals (e.g., Kimball, Data Vault) and enforce governance around PII, compliance, and lifecycle management. /liliCollaboration for Impact: Partner with analysts, business stakeholders, and product teams to translate requirements into well‑designed pipelines and models that unlock business value. /liliAutomation CI/CD: Implement testing, linting, and automated deployments for data pipelines to ensure high‑quality, production‑ready code. /li /ulh3The Perfect Match: What It Takes to Succeed at Huspy /h3ulliProven Experience: 4+ years in a Data Engineering role (or Analytics Engineering with strong pipeline/infrastructure experience). /liliPython First: Proficiency in Python for ETL, orchestration, and automation. /liliAirflow Practitioner: Hands‑on experience building DAGs and managing workflows in Airflow (or equivalent orchestration tool). /liliStreaming Batch Expertise: Comfort working with event streaming systems (Kafka, Schema Registry) as well as traditional batch pipelines. /liliCloud Native: Practical experience with AWS services (S3, ECR, ECS, IAM, etc.). /liliSQL Warehousing Skills: Strong SQL and exposure to cloud warehouses (Snowflake preferred). /liliModeling Mindset: Ability to design data models that balance scalability, simplicity, and business needs. /liliStakeholder Collaboration: Skilled at working with product, ops, and analytics teams to turn business requirements into working data solutions. /li /ulh3Work Setup: /h3pHybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred. /p #J-18808-Ljbffr