1 month ago
Lisbon, PortugalSenior
Responsibilities
- Lead the design, development, testing, deployment, and support of batch and near-real-time data pipelines.
- Design end-to-end cloud lakehouse architectures covering ingestion, transformation, storage, serving, and integration.
- Build and optimize Databricks solutions using Python, SQL, Spark, Delta Lake, and AWS services.
- Create data models and curated datasets for analytics and reporting using dimensional modeling and related patterns.
- Develop API-based integrations and reusable ingestion frameworks connecting enterprise and business systems.
- Apply orchestration, automated testing, version control, deployment, configuration, and environment-management practices.
- Own data quality, reconciliation, observability, performance, scalability, cost efficiency, and production troubleshooting.
- Implement privacy, access controls, retention, auditability, HIPAA, and GDPR requirements in partnership with governance and security teams.
- Collaborate with product owners and cross-functional stakeholders to define requirements, estimate work, communicate trade-offs, and deliver iteratively.
- Provide technical guidance, conduct design and code reviews, document architectural decisions, and mentor engineers.
- Deliver governed and performant data products that enable downstream analytics and visualization tools such as Tableau.
Requirements
- At least 9 years of professional experience in data engineering, data platform engineering, or a closely related field.
- Bachelor’s degree in computer science, information systems, engineering, or a related discipline, or equivalent practical experience.
- Experience designing data architecture and delivering production-grade data pipelines and analytical data platforms.
- Strong hands-on proficiency with Python and SQL and experience with Apache Spark or a comparable distributed data processing framework.
- Experience with Databricks and cloud data platforms, preferably AWS, including lakehouse or data lake technologies.
- Experience with data modeling, ETL/ELT design, API or system integration, and workflow orchestration.
- Ability to explain technical designs and data concepts clearly to technical and non-technical stakeholders.
- Preferred experience in biotechnology, pharmaceuticals, healthcare, or another regulated industry.
- Preferred familiarity with medical, field medical, medical information, or scientific communications data and processes.
- Preferred experience with Delta Lake, cloud-native architecture, infrastructure as code, data cataloging, lineage, automated data quality frameworks, and reporting tools such as Tableau or Power BI.
- Preferred experience working in global, matrixed organizations and exposure to machine learning or AI data foundations.
Benefits
- The role is based at Amgen’s office in Lisbon, Portugal.
- Amgen highlights an employee experience recognized in Portugal’s Best Workplaces rankings.
- The organization includes more than 500 employees across over 30 functions and more than 40 nationalities.
- The position offers collaboration with global, cross-functional teams and opportunities to mentor engineers.
Tech Stack
Categories
Data Engineering
About Amgen
Amgen is a public biotechnology company that discovers, develops, manufactures, and sells biologic and biosimilar therapeutics for patients with serious diseases. Its portfolio and pipeline span oncology, cardiovascular disease, osteoporosis, inflammation, and rare diseases, marketed globally through direct sales and partnerships. Founded in 1980 and headquartered in Thousand Oaks, California (NASDAQ: AMGN), Amgen is a component of the Dow Jones Industrial Average and completed the acquisition of Horizon Therapeutics in 2023.