Senior Data Engineer — Real-Time Pipelines (Hybrid/Remote EU)

Huspy

Madrid

Hybrid

EUR 70,000 - 100,000

Full time

3 days ago
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Job summary

Huspy is expanding its data capabilities and seeks a Data Engineer to design, scale, and govern data pipelines across cloud-native environments. You will own real-time and batch data, collaborate with product and analytics teams, and ensure robust data infrastructure across Europe and the UAE.

You will work hybrid in Madrid or Dubai/EU remote, leveraging Snowflake, Kafka, and Airflow to deliver scalable data products and governance at scale.

Qualifications

  • 4+ years in a Data Engineering role or Analytics Engineering with pipeline/infrastructure experience
  • Proficiency in Python for ETL, orchestration and automation
  • Hands‑on Airflow experience building DAGs and managing workflows
  • Experience with event streaming systems (Kafka, Schema Registry) and batch pipelines
  • Cloud native experience with AWS (S3, ECR, ECS, IAM)
  • Strong SQL and data warehousing exposure (Snowflake preferred)
  • Modeling mindset to design scalable data models balancing complexity and business needs
  • Ability to collaborate with product, ops and analytics teams to translate requirements into data solutions

Responsibilities

  • Design and scale data pipelines connecting applications, events and external sources to Snowflake
  • Work with Kafka and event-driven architectures to power real‑time data products
  • Orchestrate workflows with Airflow to automate dependencies and ensure data availability
  • Leverage AWS data services to build scalable, containerized data services
  • Maintain data quality and observability with testing and monitoring frameworks
  • Implement infrastructure as code and CI/CD for data pipelines
  • Collaborate with analysts and stakeholders to translate requirements into data solutions

Skills

Python
Streaming data
Batch processing
Data modeling
Stakeholder collaboration

Tools

Airflow
Kafka
AWS
SQL

Job description

Huspy is expanding its data capabilities and seeks a Data Engineer to design, scale, and govern data pipelines across cloud-native environments. You will own real-time and batch data, collaborate with product and analytics teams, and ensure robust data infrastructure across Europe and the UAE.

You will work hybrid in Madrid or Dubai/EU remote, leveraging Snowflake, Kafka, and Airflow to deliver scalable data products and governance at scale.

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