Senior Data Engineer
Amgen · Lisbon, Lisboa · Remoto
Sobre a função
Career Category
Information SystemsJob Description
Join our team at AMGEN Capability Center Portugal, the #1 company in Best Workplaces™ (201–500 employees' category) in Portugal in 2024 by the Great Place to Work Institute. With over 500 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.
Senior Data Engineer
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
As Senior Data Engineer you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
Let’s do this. Let’s change the world. In this vital role you will:
Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Adhere to best practices for coding, testing, and designing reusable code/component
Explore new tools and technologies that will help to improve ETL platform performance
Participate in sprint planning meetings and provide estimations on technical implementation.
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 degree and 3 to 5 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills
Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
Experience with data warehousing platforms such as Amazon Redshift, or Snowflake.
Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases.
Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.
Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops
Good-to-Have Skills:
Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)
Experience with Anaplan platform, including building, managing, and optimizing models and workflows including scalable data integrations
Understanding of machine learning pipelines and frameworks for ML/AI models
Professional Certifications:
AWS Certified Data Engineer (preferred)
Databricks Certified (preferred)
Soft Skills:
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills
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.
APPLY NOW
Objects in your future are closer than they appear. Join us.
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.
Salary Range
35,571.65 EUR - 48,126.35 EUR