PWe are working with a global leader in the strongpharmaceutical /strong and stronglife sciences industry /strong, 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. /ppbr/ppOur client is strengthening their cloud-driven data and analytics landscape. They are looking for a strongTechnical Lead /strong with deep expertise in Data Warehousing, Data Lakes, Snowflake, and DBT to guide the technical direction of their modern data platform. /ppbr/ppIn this role, you will lead the strongend-to-end lifecycle of cloud data products, /strongfrom 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. /ppbr/ppThis 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. /ppbr/ppstrongKey languages /strong /pulliFull Professional level of English /li /ulpbr/ppstrongMain responsibilities /strong /pulliLead 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 DBT /liliDesign and implement robust data models (including Data Vault 2.0 and dimensional models), ensuring interoperability and support for analytics, reporting, and AI use cases /liliBuild, optimize, and maintain ELT/ETL pipelines using DBT, SQL, and Python, applying best practices for data quality, performance, automation, and monitoring /liliDrive end-to-end delivery of cloud data products, from gathering requirements and defining technical designs to implementation, testing, deployment, and ongoing enhancements /liliCollaborate with data product managers, analytics teams, and platform engineers to translate business needs into scalable technical solutions /liliOversee operational excellence by ensuring proper documentation, governance, performance tuning, and adherence to architectural standards /liliMentor junior engineers, conduct code reviews, and help foster a strong engineering culture focused on continuous improvement and knowledge sharing /li /ulpbr/ppstrongCore skills/experience /strong /pulliMaster’s degree in Computer Science, Information Technology, Engineering, or a related fiel /lilistrong8+ years /strong of experience as a strongSnowflake /strongDeveloper /lilistrong10+ years /strong of experience in strongdata modeling /strong (Data Vault 2.0, OLTP, OLAP) /liliExpert-level knowledge of strongSQL /strongand hands-on experience in strongPython /strongfor data transformation and automation /liliStrong understanding of Data Warehouse and Data Lake concepts, architectures, and design patterns /liliPractical experience building and managing data pipelines using strongDBT /strong /liliFamiliarity with performance tuning techniques in Snowflake, including query optimization /liliHands-on experience withstrong CI/CD /strongpipelines, ideally with strongAzure /strong DevOps /liliExposure to Infrastructure as Code tools (Terraform, CloudFormation, Pulumi, etc.) /liliExperience working in regulated industries or structured delivery environments /liliStrong communication skills and the ability to influence technical direction /li /ulpbr/ppbr/ppstrongWhat's on offer /strong /pulliPension plan /liliLife and Accident Insurance /liliLocation: preference for Madrid/Barcelona, but open to remote from Spain /liliHealth Insurance /liliRestaurant Vouchers /liliEmployee and Family Psychological Support Program /liliLinkedIn Learning Subscription: access to over 15,000 courses with certification /liliCommercial discounts across hundreds of brands /liliMany more (Christmas gift packages, Nursery vouchers, etc.) /li /ulpbr/ppbr/ppstrongOur recruitment process? /strong /pulliStep 1: Interview with our Recruiter to get to know you better /liliStep 2: Screening with HR team /liliStep 3: Interview with the Hiring Manager /liliStep 4:Technical interview /li /ul