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.

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.

Location: Madrid / Hybrid work model.

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

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