Point your AI agent at freehire and let it find you a job.

Get the CLI →

Q-tech

NewBe an early applicant

Data Engineer (AWS) · Hybrid Remote

Posted Updated
Discussion

Summary

Senior data engineer designing and maintaining ELT pipelines with dbt on Snowflake for fund accounting, NAV and regulatory reporting at a financial services firm in Madrid. Day to day involves data modeling, data contracts and monitoring, plus infrastructure-as-code with Terraform alongside governance, security and business teams.

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.

Location: Madrid / Hybrid work model.

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: ~10+ 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.

If you're ready to take on technical challenges of this caliber, reach out or send us your CV.

#DataEngineering #Snowflake #dbt #DataPlatform #TechJobs #Hiring #Qtech

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available