Principal Data Engineer
Portugal - ACC
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Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Information SystemsJob Description
Join our team atĀ AMGEN Capability Center Portugal, number 1 company in Best WorkplacesTM https://www.greatplacetowork.pt/ ranking in Portugal (category 201-500 employees) by the Great Place to Work Institute. We have a team of over 300 talented people and more than 35 different nationalities, diverse areas of expertise and professional experience that are shaping the future of healthcare. This is your chance to explore a world of opportunities in different areas such as Cybersecurity, Data & Analytics, Digital, Technology and Innovation, Finance, General & Admin, Human Resources, Regulatory Affairs and many more. In Lisbon's city center, our AMGEN office fosters innovation, excellence, and inspiration. Come thrive with us at AMGEN, supporting our mission To Serve Patients. What we do at AMGEN matters in peopleās lives.
PRINCIPAL DATA ENGINEER
Ā Ā
At Amgen, Technology isnāt just a support functionāitās 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?Ā
LIVE
WHAT YOU WILL DOĀ
As a Principal Data Engineer at Amgen, youāll work at the intersection of science, data, and innovation. Youāll collaborate with world-class experts across domains to build high-impact digital solutions that accelerate research, streamline operations, and empower better patient outcomes.
You will lead the design and implementation of scalable data infrastructure. Youāll collaborate across teams to build robust data platforms, develop pipelines, and drive integration efforts. This role combines deep technical expertise with leadership, as you guide a team of engineers and help shape the Amgen's data strategy.
Responsibilities will include:
Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard processes.
Design, develop, and implement robust data architectures and platforms to support business objectives.Ā
Oversee the development and optimization of data pipelines, and data integration solutions.Ā
Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.Ā
Architect and manage cloud-based data solutions, using AWS or other preferred platforms.Ā
Lead and motivate a hard-working data engineering team to deliver exceptional results.Ā
Identify, analyze, and resolve complex data-related challenges.Ā
Work closely with business partners to understand data requirements and translate them into technical solutions.Ā
Stay abreast of emerging data technologies and explore opportunities for 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:Ā
Minimum Requirements
Bachelorās degree in computer science and engineering preferred, other Engineering field is considered; Masterās degree and 6+ years' experience OR Bachelorās degree and 8+ years' experience.
Strong rapid prototyping skills and can quickly translate concepts into working code.Ā
Showed talent in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.Ā
Proficient on experience in Python, PySpark, SQL. Hands-on experience with bid data ETL performance tuning.Ā
Ability to lead and develop hard-working data engineering teams.Ā
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Strong verbal and written communication skills.
Ability to work effectively with global, remote teams.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Strong presentation and public speaking skills.Ā
Ā
Preferred Requirements
Experienced with data modeling and performance tuning for both OLAP and OLTP databases.Ā Ā
Experienced with Apache Spark, Apache Airflow.
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
Experienced with AWS, GCP or Azure cloud services.
AWS Certified Data Engineer preferred.
Databricks Certificate preferred.
THRIVE
WHAT YOU CAN EXPECT OF US
As we work to develop treatments that take care of others, we also care deeply for our teammatesā well-being and growth.Ā
Work That Matters ā Build tech that accelerates scientific breakthroughs and helps patients worldwide.Ā
Modern Tech Stack ā Cloud-first, automation-focused, AI-powered.Ā
Global Scale, Agile Mindset ā Collaborate across continents while working in nimble, high-impact teams.Ā
Continuous Learning ā Access to certifications, trainings, mentorship, and career mobility.Ā
Amgen Total Rewards Plan ā Comprehensive benefits in healthcare, finance, and well-being.Ā
Flexibility ā Hybrid work model with time split between our Lisbon office and remote work.Ā
Apply now
Join us in our mission to serve patients.
careers.amgen.com
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile Airflow Architecture AWS Azure CI/CD Computer Science Databricks Data governance Data pipelines Data quality Data strategy Engineering ETL Finance GCP Git Jenkins Maven OLAP Pipelines Prototyping PySpark Python Research Security Spark SQL Testing
Perks/benefits: Career development Startup environment
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