We are working with a integral leader in the pharmaceutical and life sciences industry, renowned for their commitment to innovation and improving patient outcomes. This German multinational with 60,000+ employees in 66 countries, offers a unique opportunity to transform the world through healthcare, life sciences, and performance materials.
Our client is strengthening their cloud-driven data and analytics landscape. They are looking for a Technical Lead with deep expertise in Data Warehousing, Data Lakes, Snowflake, and DBT to guide the technical direction of their modern data platform.
In this role, you will lead the end-to-end lifecycle of cloud data products, from architecture and modeling to pipeline development, performance optimization, and automation. You will act as a hands-on Subject Matter Expert, mentoring developers and ensuring the delivery of scalable, secure, and high-quality data solutions that power analytics, reporting, and AI use cases.
This is a high-impact position for someone who enjoys designing cloud-native data platforms, driving technical excellence, and shaping data engineering best practices in a rapidly evolving environment.
Main responsibilities
- Own the end-to-end design of cloud data products; define and enforce standards for data quality, security, GxP compliance, and CI/CD; document decisions through Design Decision Records (DDRs)
- Oversee implementation across internal and external teams; provide deep expertise in Snowflake performance tuning, dbt pipeline design, SQL optimization, and Python-based data processing
- Mentor engineers at all levels, coordinate cross-team dependencies, and communicate risks, trade-offs, and progress clearly to stakeholders
- Plan and scope engineering initiatives; balance feature delivery with technical debt; drive CI/CD adoption using Azure DevOps and automated data testing
- Contribute to team growth through hiring, onboarding, and knowledge sharing
Core skills/experience
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- 8+ years of experience as a Snowflake Develope and data modeling (Data Vault 2.0, OLTP, OLAP)
- Expert-level knowledge of SQL and hands-on experience in Python for data transformation and automation
- Strong understanding of Data Warehouse and Data Lake concepts, architectures, and design patterns
- Practical experience building and managing data pipelines using DBT
- Familiarity with performance tuning techniques in Snowflake, including query optimization
- Hands-on experience with CI/CD pipelines, ideally with Azure DevOps
- Exposure to Infrastructure as Code tools (Terraform, CloudFormation, Pulumi, etc.)
- Experience working in regulated industries or structured delivery environments
- Strong communication skills and the ability to influence technical direction
Whats on offer
- Pension plan
- Life and Accident Insurance
- Location: preference for Madrid/Barcelona, but open to remote from Spain
- Salary range: €70-80K + Bonus
- Health Insurance
- Restaurant Vouchers
- Employee and Family Psychological Support Program
- LinkedIn Learning Subscription: access to over 15,000 courses with certification
- Commercial discounts across hundreds of brands
- Many more (Christmas gift packages, Nursery vouchers, etc.)
Our recruitment process?
- Step 1: Interview with our Recruiter to get to know you better
- Step 2: Screening with Hiring Manager
- Step 3: Technical Test
- Step 4: Tech Interview
At Babel Profiles, we believe in talent beyond labels. This opportunity is open to all qualified candidates, and we are committed to ensuring equal opportunities regardless of gender identity, background, or origin.