Overview

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 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 (Mollet del Vallès)
🏢 Merck
📍 Mollet del Vallès