Specialist Software Engineer

Biopharma Careers

Lisboa

Presencial

EUR 52 000 - 70 000

Tempo integral

14 dias+

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Resumo da oferta

AMGEN Capability Center Portugal in Lisbon invites applications for a Specialist Software Engineer to design, develop, and maintain cloud-native data pipelines enabling analytics and decision-making.

The role focuses on building scalable data solutions using Databricks, Apache Spark, MuleSoft, Airflow, and AWS, with strong emphasis on data governance, ETL/ELT, and API integration in an agile delivery environment.

Qualificações

  • Hands-on experience with big data technologies such as Databricks and Apache Spark.
  • Proficiency in SQL and data visualization tools.
  • Experience with MuleSoft API and integration design and development.
  • Strong problem-solving skills and understanding of data governance frameworks.
  • Familiarity with GDPR/CCPA compliance and data protection requirements.

Responsabilidades

  • Design, develop, and maintain scalable data pipelines and cloud-native data solutions.
  • Build and maintain MuleSoft APIs and integration solutions for enterprise systems.
  • Develop and optimize ETL/ELT processes for large-scale data processing.
  • Collaborate with cross-functional teams to meet data requirements and delivery timelines.
  • Support CI/CD, DevOps practices, and operational monitoring of data platforms.

Conhecimentos

Databricks
Apache Spark
MuleSoft API
SQL
Data governance

Formação académica

Master’s degree in Computer Science
Bachelor’s degree in Computer Science
Diploma in Computer Science

Ferramentas

AnyPoint Platform
Python
R
Databricks
SageMaker
Airflow
AWS

Descrição da oferta de emprego

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 experienceOR
  • 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
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 provideda reasonableaccommodation toparticipatein the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to requestan accommodation.

Salary Range

51,812.60EUR-70,099.40EUR

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