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Location
Hybrid
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Aug 27, 2026. Q-Tech scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Q-Tech is a specialized IT recruitment and talent selection firm focused on sourcing high-caliber engineering and technical professionals for technology-driven enterprises. Headquartered in Barcelona, Spain, the company utilizes a tailored, quality-first headhunting methodology to connect businesses with top-tier software and systems talent. Founded in 1999, it has grown into a trusted partner for organizations seeking specialized technical staffing solutions across diverse sectors.

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:

  • 8+ 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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