Senior Data Engineer - Snowflake ELT Architect (Hybrid)

Q-tech Recruitment Consultants, S.L.; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Q-tech Recruitment Consultants, S.L. in Madrid is seeking a Senior Data Engineer to design robust data pipelines and drive Snowflake-based architectures.

You will collaborate with governance teams and product owners to deliver scalable data products, ETL/ELT pipelines with dbt, Python, and Terraform.

This on-site/hybrid role requires strong English and a track record in data modeling and cloud platforms.

Formación

• 10+ years of experience in data engineering.
• Advanced Snowflake expertise (architecture, performance tuning).
• 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 data governance tools.
• Financial services domain knowledge is a plus.
• Fluent English.
• Ability to leverage AI tools responsibly to optimize workflows.

Responsabilidades

• 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.

Conocimientos

Data engineering

Python

Snowflake

dbt

Airflow

Data modeling

Herramientas

Terraform

GCP

StreamSets

Airflow

Descripción del empleo

Q-tech Recruitment Consultants, S.L. in Madrid is seeking a Senior Data Engineer to design robust data pipelines and drive Snowflake-based architectures.

You will collaborate with governance teams and product owners to deliver scalable data products, ETL/ELT pipelines with dbt, Python, and Terraform.

This on-site/hybrid role requires strong English and a track record in data modeling and cloud platforms.