We are working with a global 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.
Key languages
- Full Professional level of English
Main responsibilities
Lead the architecture and technical direction of the client’s cloud Data Warehouse and Data Lake environment, ensuring scalable and reliable solutions built on Snowflake and DBTDesign and implement robust data models (including Data Vault 2.0 and dimensional models), ensuring interoperability and support for analytics, reporting, and AI use casesBuild, optimize, and maintain ELT / ETL pipelines using DBT, SQL, and Python, applying best practices for data quality, performance, automation, and monitoringDrive end-to-end delivery of cloud data products, from gathering requirements and defining technical designs to implementation, testing, deployment, and ongoing enhancementsCollaborate with data product managers, analytics teams, and platform engineers to translate business needs into scalable technical solutionsOversee operational excellence by ensuring proper documentation, governance, performance tuning, and adherence to architectural standardsMentor junior engineers, conduct code reviews, and help foster a strong engineering culture focused on continuous improvement and knowledge sharingCore skills / experience
Master’s degree in Computer Science, Information Technology, Engineering, or a related fiel8+ years of experience as a Snowflake Developer10+ years of experience in data modeling (Data Vault 2.0, OLTP, OLAP)Expert-level knowledge of SQL and hands-on experience in Python for data transformation and automationStrong understanding of Data Warehouse and Data Lake concepts, architectures, and design patternsPractical experience building and managing data pipelines using DBTFamiliarity with performance tuning techniques in Snowflake, including query optimizationHands-on experience with CI / CD pipelines, ideally with Azure DevOpsExposure to Infrastructure as Code tools (Terraform, CloudFormation, Pulumi, etc.)Experience working in regulated industries or structured delivery environmentsStrong communication skills and the ability to influence technical directionWhat's on offer
Pension planLife and Accident InsuranceLocation : preference for Madrid / Barcelona, but open to remote from SpainHealth InsuranceRestaurant VouchersEmployee and Family Psychological Support ProgramLinkedIn Learning Subscription : access to over 15,000 courses with certificationCommercial discounts across hundreds of brandsMany more (Christmas gift packages, Nursery vouchers, etc.)Our recruitment process?
Step 1 : Interview with our Recruiter to get to know you betterStep 2 : Screening with HR teamStep 3 : Interview with the Hiring ManagerStep 4 : Technical interview