Senior Data Engineer

Q-tech; Madrid; On-site; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Q-tech in Madrid seeks a Senior Data Engineer to design scalable data pipelines on Snowflake or similar cloud platforms. You will build data products, establish data contracts, and collaborate with governance teams to ensure robust, secure solutions.

The role requires 7+ years in data engineering and strong dbt and Snowflake skills, plus experience with Airflow, Terraform, and StreamSets to deliver reliable data infrastructure.

Qualifications

• 7+ years of experience in data engineering.
• Advanced Snowflake architecture and performance tuning.
• Strong dbt models, macros, testing and deployment.
• Enterprise data modeling with dimensional modeling, SCD, Data Vault.
• GCP cloud experience preferred.
• Experience with Airflow and data governance tools.
• Ability to leverage AI tools 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

Senior data eng

Snowflake expert

dbt proficiency

Dimensional data modeling

GCP knowledge

Airflow

Data governance tools

AI workflow optimization

Tools

Terraform

StreamSets

Streamlit

Job description

At Q-tech, we're hiring a Senior Data Engineer with hands-on experience in Snowflake (or similar cloud data platform) 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 (or similar cloud data platform), 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:

• 7+ years of experience in data engineering.
• Advanced Snowflake expertise: architecture, performance tuning, Snowpark, Streamlit (or in similar cloud data platforms)
• 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.