Specialist Software Engineer
About this opportunity
Career Category
Information Systems
Job Description
Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to Work® 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.
Specialist Software Engineer
Live
What you will do
Amgen is seeking a Specialist Software Engineer to design, develop, and support scalable enterprise data and integration solutions that enable analytics, reporting, and business decision-making. This role focuses on building and maintaining cloud-native data pipelines, APIs, and integration platforms using technologies such as Databricks, Apache Spark, MuleSoft, Airflow, and AWS.
The ideal candidate will have strong experience in big data processing, ETL/ELT development, API integration, workflow orchestration, and cloud data engineering practices. The successful candidate should possess strong problem-solving skills, a passion for data engineering, and the ability to work effectively in agile product delivery environments.
Roles & Responsibilities:
Design, develop, and maintain scalable data pipelines and cloud-native data solutions for data ingestion, transformation, processing, and distribution using Databricks, Apache Spark, Airflow, and AWS technologies.
Design, build, and maintain MuleSoft APIs and integration solutions leveraging API-led connectivity and enterprise integration best practices to enable robust integrations between CRM and cross-functional enterprise systems.
Develop and optimize ETL/ELT processes to support large-scale structured and unstructured data processing across multiple enterprise platforms.
Participate in the end-to-end delivery of data engineering solutions including design, development, testing, deployment, monitoring, and operational support.
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Build scalable and reusable data processing frameworks, components, and integration services following enterprise engineering standards and best practices.
Develop and maintain data models, metadata definitions, data dictionaries, and technical documentation to ensure data consistency, accuracy, and governance compliance.
Implement data validation, reconciliation, and quality control processes to ensure reliability and integrity of enterprise data assets.
Optimize Spark jobs, SQL queries, APIs, and ETL pipelines for scalability, reliability, and performance.
Leverage AWS cloud services to develop scalable, resilient, and secure data solutions and integration services.
Implement monitoring, logging, alerting, and operational support processes for data pipelines, APIs, and cloud-based integrations.
Support CI/CD automation and DevOps best practices for data engineering and integration deployments.
Identify, troubleshoot, and resolve complex data processing, integration, and performance-related issues in a timely manner.
Research and evaluate emerging technologies, tools, and AI-assisted engineering capabilities that improve platform performance, developer productivity, and operational excellence.
Adhere to software engineering best practices including coding standards, unit testing, reusable component design, peer reviews, and documentation standards.
Participate in sprint planning, backlog refinement, estimation, and other agile software delivery activities.
Basic Qualifications and Experience:
Master’s degree and 3 to 7 years of Computer Science, IT or related field experience OR
Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience OR
Diploma and 7 to 11 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills
Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Skilled in MuleSoft API and Mulesoft integration job design and development
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
Good-to-Have Skills:
Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
Strong understanding of data modeling, data warehousing, and data integration concepts
Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms
Proficiency in using Databricks Assistant, and other AI tools
Professional Certifications
Certified in MuleSoft Certified Developer 1 or higher (preferred)
Certified Associate or Professional Data Engineer / Data Analyst (preferred on Databrick)
Certified AWS Professional or Associate certification (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
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
51,812.60 EUR - 70,099.40 EUR
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1097 comparable Information Technology roles across 55 biopharma companies.
Salary context
143 of 1097 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1097 comparable roles
+ 23 more countries
Seniority mix
612 of 1097 peers have a known seniority level
Therapeutic area mix
1 of 1097 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.