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# Senior Ai Data Engineer - Pharma Dataops & Snowflake

- **Company:** Q Tech
- **Location:** Alcobendas, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Data Vault Modeling, Dimensional Modeling, Python (Programming Language), Performance Tuning, DataOps, Enterprise Data Management, Cloud Platform System, Macros, Snowflake, Infrastructure Automation Frameworks, Collibra, Streamlit Framework, Terraform, Data Pipelines
- **Published:** September 6, 2026
- **Apply:** https://www.recruit.net/job/ai-data-engineer-pharma-dataops-jobs/EFDF7A3A015CCA5C

## About the Role

* 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.

## Description

Descripción 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., * 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.


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