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. 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 for data 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, flexible working models, and the purpose-driven environment of a integral 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
📌 Technical lead (Madrid)
🏢 Merck
📍 Madrid