Senior Data Engineer

Amgen; Lisboa; On-site; EUR 75,000 - 115,000; Full time

Job summary

Amgen is seeking a Senior Data Engineer to advance scalable data pipelines and lakehouse architectures within Global Medical Data and Analytics in Lisbon. You will partner with product owners, architects, and analytics teams to deliver secure, reliable data capabilities across the enterprise.

The role emphasizes hands-on development with Python, SQL, Spark, and Databricks, cloud platforms, data governance, and collaboration in an Agile/SAFe environment to drive impactful medical data solutions.

Qualifications

• 9+ years of professional experience in data engineering or related field.
• Bachelor’s degree in computer science, information systems, engineering, or related discipline.
• Proven track record delivering production-grade data pipelines and analytics platforms.
• Strong Python and SQL proficiency; experience with Spark or similar framework.
• Experience with Databricks and cloud data platforms (AWS); data lake/ lakehouse tech.
• Data modeling, ETL/ELT design, API/system integration, and orchestration.

Responsibilities

• Lead the design, development, testing, deployment, and support of robust batch and near-real-time data pipelines across source, landing, curated, and analytics layers.
• Design end-to-end data architecture for cloud-based lakehouse solutions, including ingestion, transformation, storage, serving, and integration patterns.
• Build and optimize solutions on Databricks using Python, SQL, Spark, Delta Lake, and AWS services.
• Design data models and curated datasets for analytics and reporting with clear definitions and lineage.
• Develop API-based integrations and reusable ingestion frameworks across enterprise systems.
• Apply engineering practices for orchestration, CI/CD, automated testing, version control, and deployment.
• Own data quality, reconciliation, observability, performance, scalability, and cost efficiency.
• Incorporate privacy, access controls, retention, auditability, and regulatory needs (HIPAA, GDPR) with governance teams.
• Collaborate with product owners and cross-functional teams in Agile/SAFe to shape requirements and deliver iteratively.
• Provide technical guidance, code reviews, and architectural documentation; mentor engineers.
• Enable downstream analytics and visualization (Tableau/BI) with well-governed data products.

Skills

Python

SQL

Apache Spark

Databricks

AWS

Data Pipelines

Data Architecture

APIs & Integrations

CI/CD

Data Governance

Tableau & BI

Education

Bachelor's degree

Tools

Databricks

Delta Lake

Tableau

Airflow

Job description

Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.

Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.

What we do at AMGEN matters in people's lives.

Senior Data Engineer

Global Medical Data and Analytics

Role Overview

Join Amgen’s Global Medical Data and Analytics organization and help build trusted data products that support better decisions for medical teams. As a Senior Data Engineer, you will lead the design and delivery of scalable data pipelines and lakehouse solutions while contributing to data architecture, modeling, integration, and operational standards. You will partner with product owners, architects, analytics teams, validation engineers, and business stakeholders to turn complex needs into secure, reliable, and reusable data capabilities.

What You Will Do

• Lead the design, development, testing, deployment, and support of robust batch and near-real-time data pipelines across source, landing, curated, and analytics layers.
• Design end-to-end data architecture for cloud-based lakehouse solutions, including data ingestion, transformation, storage, serving, and integration patterns.
• Build and optimize solutions on Databricks using Python, SQL, Spark, Delta Lake, and related platform capabilities; work with AWS cloud services and enterprise data lake technologies.
• Design data models and curated datasets for analytics and reporting, applying dimensional modeling and other appropriate modeling patterns while maintaining clear definitions and lineage.
• Develop and support API-based integrations and reusable ingestion frameworks that connect enterprise and business systems.
• Apply engineering practices for orchestration, configuration, CI/CD, automated testing, version control, deployment, and environment management.
• Own data quality, reconciliation, observability, performance, scalability, and cost efficiency; diagnose production issues and improve reliability.
• Build in privacy, access controls, retention, auditability, and regulatory expectations such as HIPAA and GDPR into data solutions in partnership with governance and security teams.
• Collaborate with product owners and cross-functional teams in an Agile/SAFe environment to shape requirements, estimate work, communicate trade-offs, and deliver iteratively.
• Provide technical guidance, conduct design and code reviews, document architectural decisions, and mentor engineers across the team.
• Enable downstream analytics and visualization, including Tableau or comparable BI tools, by delivering well-governed, performant, and documented data products.

Basic Qualifications

• 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.
• Demonstrated 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 Qualifications

• Experience in biotechnology, pharmaceuticals, healthcare, or another regulated industry.
• Familiarity with medical, field medical, medical information, or scientific communications data and processes.
• Experience with Delta Lake, cloud-native architecture, infrastructure as code, data cataloging, lineage, and automated data quality frameworks.
• Experience supporting Tableau, Power BI, or similar reporting and visualization solutions.
• Experience working in a global, matrixed organization and using Agile or SAFe practices.
• Exposure to machine learning or AI data foundations and responsible data enablement.

How You Work

• You take ownership from architecture through production support and make sound decisions that balance delivery, reliability, security, and maintainability.
• You work effectively across disciplines and time zones, listen to users, and make complex topics understandable.
• You bring strong analytical and troubleshooting skills, adapt to changing priorities, and help teammates grow through collaboration and feedback.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.