1 month ago
Lisbon, PortugalSenior
Responsibilities
- Lead the design, development, testing, deployment, and support of robust batch and near-real-time data pipelines.
- Design end-to-end cloud-based lakehouse architectures covering ingestion, transformation, storage, serving, and integration.
- Build and optimize Databricks solutions using Python, SQL, Spark, Delta Lake, and AWS cloud services.
- Design dimensional and other appropriate data models, curated datasets, definitions, and lineage for analytics and reporting.
- Develop API-based integrations and reusable ingestion frameworks connecting enterprise and business systems.
- Apply orchestration, configuration, automated testing, version control, deployment, and environment-management practices.
- Own data quality, reconciliation, observability, performance, scalability, cost efficiency, and production issue resolution.
- Build privacy, access controls, retention, auditability, HIPAA, and GDPR considerations into data solutions.
- Collaborate with product owners, architects, analytics teams, validation engineers, and business stakeholders in an Agile/SAFe environment.
- Provide technical guidance, conduct design and code reviews, document architectural decisions, and mentor engineers.
- Deliver governed and performant data products supporting Tableau, Power BI, or comparable analytics and visualization tools.
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 communicate technical designs and data concepts clearly to technical and non-technical partners.
- 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, and automated data quality frameworks.
- Preferred experience supporting Tableau, Power BI, or similar reporting and visualization solutions.
- Preferred experience in global, matrixed organizations and with Agile or SAFe practices.
- Preferred exposure to machine learning or AI data foundations and responsible data enablement.
Benefits
- The role is located at Amgen’s office in Lisbon, Portugal.
- Amgen highlights an employee-focused workplace culture and recognition among Portugal’s Best Workplaces.
- The organization offers collaboration across more than 30 functions and over 40 nationalities.
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.