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

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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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Exploring declarative and procedural macro subtypes in Rust environments

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

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Navigating the disadvantages and maintenance costs of procedural macros

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