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.
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You are equally at home reviewing a data model, coaching a colleague, 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 fordata quality, security, Gx P 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 Dev Ops 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, adaptable 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 Dev Ops and Git;
Ia C with Terraform or Cloud Formation is a plus.
Familiarity with AWS data services (Glue, Step Functions, Athena, Lambda) is advantageous. xhfqzwm
Experience with Gx P-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 oportunidad de ser considerados para las vacantes disponibles HC-HF-IRHE Engineering RL Expert 3

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