Senior Data Engineer (Snowflake)

Q‑tech; Comunidad de Madrid; On-site; EUR 85,000 - 120,000; Full time

Job summary

Q-tech is hiring a Senior Data Engineer with deep Snowflake expertise to join a data infrastructure team at a leading international financial services firm. You will design pipelines and platform components that support decision-making, reporting and analytics, focusing on secure, scalable data delivery.

The role requires 8+ years in data engineering, advanced Snowflake and dbt skills, enterprise data modeling, and familiarity with GCP.

Qualifications

• 8+ years of experience in data engineering.
• Advanced Snowflake expertise (architecture, performance tuning, Snowpark, Streamlit).
• Strong dbt proficiency (models, macros, testing and deployment).
• 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.
• Ability to leverage AI tools responsibly to optimize workflows.

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.

Skills

Snowflake

dbt

Data modeling

Cloud platforms

Tools

Airflow

StreamSets

Terraform

Job description

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 with experience in 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:

• 8+ years of experience in data engineering.
• Advanced Snowflake expertise (architecture, performance tuning, Snowpark, Streamlit).
• Strong dbt proficiency (models, macros, testing and deployment).
• 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.
• Ability to leverage AI tools responsibly to optimize workflows.

Barcelona