Senior Ai Data Engineer - Pharma Dataops & Snowflake
Q Tech
Alcobendas, Spain
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
10 years minimum
Working hours
Regular working hours
Languages
English
Job source
Tech stack
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
+8 more
Cloud Platform System
Macros
Snowflake
Infrastructure Automation Frameworks
Collibra
Streamlit Framework
Terraform
Data Pipelines
Job 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.
Requirements
- 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.
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