Overview
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You will lead the end-to-end lifecycle of cloud data products, applying Snowflake and DBT expertise to deliver scalable analytics solutions. As a hands-on technical lead, you’ll design data flows, implement Data Vault 2.0 models, and write optimized SQL with Python for data processing. You will build and maintain data pipelines, automate processes, and ensure data quality while mentoring junior developers. Collaborating with cross-functional teams, you’ll shape the data strategy and enable reporting, analytics, and AI initiatives. This role offers impact through scaling data solutions and driving best practices.
Responsabilidades
Lead end-to-end lifecycle of cloud data products
Design and implement data flows aligned with best practices
Act as SME for Snowflake and DBT to guide technical design
Create and optimize Data Vault 2.0 data models for interoperability
Write optimized SQL and use Python for data processing




Develop and maintain robust data pipelines and automate processes
Ensure data quality across the data lifecycle
Collaborate with cross-functional teams to support reporting, analytics, and AI initiatives
Mentor junior developers and promote knowledge sharing
Requisitos principales
8+ years as a Snowflake Developer
10+ years in data modeling (OLAP, OLTP, Data Vault 2.0) and data warehousing
Hands-on experience with complex SQL xqbhyrx and advanced Python
Strong understanding of data warehousing concepts and methodologies
Experience building data pipelines using DBT
Familiarity with Snowflake performance tuning and query optimization
Knowledge of CI/CD pipelines (Azure DevOps)
IaC tools like Terraform or CloudFormation is a plus
Excellent problem-solving, analytical, and communication skills
team leadership
mentoring
communication
Snowflake
DBT
Data Vault 2.0

📌 Technical Lead - Cloud Data Engineering - Snowflake / DBT (Barcelona)
🏢 Merck
📍 Barcelona