Your role

Ready to shape the future? As Technical Lead Cloud Data Engineering, you own the technical direction of our Snowflake- and DBT-based data products from design to delivery. Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo. You are equally at home reviewing a data model, coaching a colega, or presenting a design decision to senior management. You guide a cross-functional team, set engineering standards, and translate R&D; business requirements into robust, scalable solutions - all while fostering a culture of quality, accountability, and continuous learning.

Your key responsibilities

- Define end-to-end design of cloud data products;
- establish standards for data quality, security, GxP compliance, and CI/CD;
- document decisions as Design Decision Records (DDRs).
- Oversee implementation by internal and external engineers;
- provide expertise on Snowflake performance tuning, DBT pipeline design, SQL optimization, and Python-based processing.
- Mentor engineers at all levels;
- manage cross-team dependencies;
- communicate risks, trade-offs, and status clearly to all stakeholders.
- Scope and plan engineering work;
- balance feature delivery with technical debt;
- drive CI/CD adoption via Azure DevOps and automated data testing.
- Actively contribute to team growth through recruiting, onboarding, and knowledge sharing.

In return, we offer a high-impact role at the forefront of Healthcare R&D; data innovation, a strong international engineering culture, flexible working models,



and the purpose-driven environment of a global science and technology company.

Who you are

Leadership & Mindset Accountable for team outcomes; leads by example and enables others to grow. Pragmatic: balances engineering excellence with real-world delivery constraints. Clear communicator across technical and non-technical audiences.

Experience & Qualifications

- Master's degree in Computer Science, Information Technology, or equivalent.
- 8+ years of hands-on data engineering experience, including significant technical lead responsibility.
- Deep expertise in Snowflake (architecture, performance tuning, data sharing) and DBT (pipeline design, testing, job automation).
- Strong proficiency in data modelling: Data Vault 2.0, OLAP/OLTP, and semantic ontologies.
- Advanced SQL and solid Python skills for data transformation and system integration.
- Proven CI/CD experience with Azure DevOps and Git; IaC with Terraform or CloudFormation is a plus.
- Familiarity with AWS data services (Glue, Step Functions, Athena, Lambda) is advantageous.
- Experience with GxP-compliant data products in a regulated (pharma/healthcare) environment is a strong plus.
- Business-fluent English (written and spoken)

Todos los candidatos internos, sin importar si trabajan a tiempo completo o parcial, tendrán la ocasión de ser considerados para las vacantes disponiblesHC-HF-IRHE EngineeringRL Expert 3

Technical Lead - Cloud Data Engineering - Snowflake / DBT Mollet Del Valles, Cataluna, es

#J-18808-Ljbffr

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