Data Engineering Sr Manager - Commercial Data & Analytics

Data Engineering Sr Manager - Commercial Data & Analytics
Portugal - Lisbon Apply NowJoin our team at Amgen Capability Center Portugal, the #1 company in Best Workplaces™ (201–500 employees category) by the Great Place to Work Institute. With over 400 talented individuals from more than 40 nationalities, our Lisbon center thrives at the intersection of innovation, excellence, and inspiration. This is your opportunity to explore the future of healthcare through technology and digital innovation, supporting our mission To Serve Patients.
Data Engineering Sr Manager - Commercial Data & Analytics
At Amgen, Technology isn’t just a support function—it’s a catalyst for discovery, transformation, and real-world impact. Here, your ideas fuel innovation that improves and saves lives of patients in dire need of our medicines. Are you ready to do meaningful work that matters?
Live
What you will do
We’re looking for a Data Engineering Senior Manager to shape and lead the evolution of our enterprise data strategy. This is a hands-on leadership role for a technologist who thrives at the intersection of architecture, innovation, and team development. You'll be responsible for building scalable, high-performance data platforms while mentoring and running a small team of versatile data engineers.
Grab this unique opportunity to influence data engineering in our organization, combining deep technical expertise with impactful leadership.
In this vital role you will:
- Architect and implement modern data platforms that power advanced analytics, machine learning, and real-time decision-making.
- Mentor, lead, and grow a high-performing team of data engineers—driving career development, fostering collaboration, and instilling engineering excellence.
- Translate business requirements into scalable, resilient data solutions.
- Design and optimize large-scale data pipelines and integration workflows using cloud-native technologies.
- Champion data governance, security, and compliance, ensuring high-quality, reliable, and trusted data assets.
- Lead rapid prototyping initiatives to explore new tools, frameworks, and solutions.
- Serve as a technical advisor and strategic partner to stakeholders across the organization.
- Evaluate and incorporate emerging technologies to keep our data stack at the forefront of innovation.
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The tech professional we seek is a creative problem-solver and a team player with these qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Deep expertise in cloud data platforms (AWS, Azure, or GCP), with experience designing cost-effective, scalable architectures.
- Hands-on proficiency in Python, PySpark, and SQL for large-scale data processing and pipeline optimization.
- Strong interest in leading and mentoring data engineering teams and delivering high-impact solutions.
- Strong analytical and problem-solving skills, with the ability to solve complex data issues and drive resolution.
- Clear and confident communicator with excellent written and verbal skills.
- Strong leadership presence with the ability to present to technical and non-technical audiences.
- Highly self-motivated with a passion for mentoring and developing talent.
- Comfortable managing multiple priorities and working across global, cross-functional teams.
Thrive
What you can expect of us
As we work to develop treatments that take care of others, we also care deeply for our teammates’ well-being and growth.
- Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide.
- Modern Tech Stack – Cloud-first, automation-focused, AI-powered.
- Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams.
- Continuous Learning – Access to certifications, trainings, mentorship, and career mobility.
- Amgen Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being.
- Flexibility – Hybrid work model with time split between our Lisbon office and remote work.