Senior Data Engineer

Descripción

Are you passionate about building robust data pipelines and working closely with business and data governance teams?

At Q-tech, we're hiring a Senior Data Engineer (Snowflake) to join a data infrastructure team that lays the secure, scalable and trustworthy foundation for storing, processing and distributing critical data at a leading international financial services firm.

Location: Madrid / Hybrid work model.

In this role, you'll design pipelines and platform components that support decision-making, reporting and analytics, working closely with data governance teams and business stakeholders.

Key responsibilities:

• Architect and deploy ELT pipelines using dbt on Snowflake, following established data modeling standards.
• Build and maintain data products for fund accounting, positions, NAV and regulatory reporting.
• Define data contracts, quality expectations and monitoring alerts.
• Develop infrastructure components using Terraform or other infrastructure-as-code tools.
• Partner with architecture, security and compliance teams to strengthen platform security and reliability.
• Translate product vision into platform capabilities alongside product owners.

What we're looking for:

• 10+ years of experience in data engineering.
• Advanced Snowflake expertise (architecture, performance tuning, Snowpark, Streamlit).
• Strong dbt proficiency (models, macros, testing and deployment).
• Advanced Python skills for pipeline development.
• Enterprise data modeling experience (dimensional modeling, SCD, Data Vault).
• Familiarity with cloud platforms (GCP preferred).
• Experience with Airflow, StreamSets and data governance tools.
• Financial services domain knowledge is a plus.
• Fluent English.
• Ability to leverage AI tools responsibly to optimize workflows.

If you're ready to take on technical challenges of this caliber, reach out or send us your CV.

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