Senior Data Engineer - Snowflake ELT & dbt Pipelines

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

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.