Associate Data Engineer
Amgen
Associate Data Engineer
Job 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.
What you will do
- Collaborate cross functionally to perform data integration, create data models, design and develop dashboards and action flows
- Take ownership for the design, build, maintenance and analysis of data to drive business decisions
- Run discovery workshops with various business stakeholders to Model and design processes using BPMN
- Perform process and root cause analysis to identify metrics & KPIs
- Use AI assistants to speed extraction, modeling, analysis and surface insights
- Stay current with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums
What we expect of you
- Degree in an IT discipline or similar relevant subject
- Hands-on experience with Process Intelligence tools like Celonis
- Domain knowledge expertise with multiple SAP processes
- Knowledge of BPM tools and their standard practices
- Proficiency in data analysis tools and experience with data visualization tools
- Hands-on experience scripting languages
- Knowledge of RAG pipelines & prompt engineering
- 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
Must-Have Skills
- Process Intelligence tools like Celonis
- SAP processes
- BPM tools
- Data analysis tools
- Data visualization tools
- Scripting languages
- RAG pipelines
- Prompt engineering
- AI/ML and GenAI tooling
What you can expect of us
- Comprehensive benefits in healthcare, finance, and well-being
- Hybrid work model with time split between our Lisbon office and remote work
- Access to certifications, trainings, mentorship, and career mobility
- 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
Compensation
201–500
Locations
- Lisbon, Portugal (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
45,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Process Intelligence tools like Celonisintermediate
- SAP processesintermediate
- BPM toolsintermediate
- Data analysis toolsintermediate
- Data visualization toolsintermediate
- Scripting languagesintermediate
- RAG pipelinesintermediate
- Prompt engineeringintermediate
- AI/ML and GenAI toolingintermediate
Required Qualifications
- Degree in an IT discipline or similar relevant subject (experience)
- Hands-on experience with Process Intelligence tools like Celonis (experience)
- Domain knowledge expertise with multiple SAP processes (experience)
- Knowledge of BPM tools and their standard practices (experience)
- Proficiency in data analysis tools and experience with data visualization tools (experience)
- Hands-on experience scripting languages (experience)
- Knowledge of RAG pipelines & prompt engineering (experience)
- Excellent problem-solving skills and the ability to work with large, complex datasets (experience)
- Strong understanding of data governance frameworks, tools, and best practices (experience)
- Knowledge of data protection regulations and compliance requirements (experience)
Responsibilities
- Collaborate cross functionally to perform data integration, create data models, design and develop dashboards and action flows
- Take ownership for the design, build, maintenance and analysis of data to drive business decisions
- Run discovery workshops with various business stakeholders to Model and design processes using BPMN
- Perform process and root cause analysis to identify metrics & KPIs
- Use AI assistants to speed extraction, modeling, analysis and surface insights
- Stay current with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums
Benefits
- general: Comprehensive benefits in healthcare, finance, and well-being
- general: Hybrid work model with time split between our Lisbon office and remote work
- general: Access to certifications, trainings, mentorship, and career mobility
- general: Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide
- general: Modern Tech Stack – Cloud-first, automation-focused, AI-powered
- general: Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams
Tags & Categories
Associate Data Engineer
Amgen
Associate Data Engineer
Job 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.
What you will do
- Collaborate cross functionally to perform data integration, create data models, design and develop dashboards and action flows
- Take ownership for the design, build, maintenance and analysis of data to drive business decisions
- Run discovery workshops with various business stakeholders to Model and design processes using BPMN
- Perform process and root cause analysis to identify metrics & KPIs
- Use AI assistants to speed extraction, modeling, analysis and surface insights
- Stay current with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums
What we expect of you
- Degree in an IT discipline or similar relevant subject
- Hands-on experience with Process Intelligence tools like Celonis
- Domain knowledge expertise with multiple SAP processes
- Knowledge of BPM tools and their standard practices
- Proficiency in data analysis tools and experience with data visualization tools
- Hands-on experience scripting languages
- Knowledge of RAG pipelines & prompt engineering
- 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
Must-Have Skills
- Process Intelligence tools like Celonis
- SAP processes
- BPM tools
- Data analysis tools
- Data visualization tools
- Scripting languages
- RAG pipelines
- Prompt engineering
- AI/ML and GenAI tooling
What you can expect of us
- Comprehensive benefits in healthcare, finance, and well-being
- Hybrid work model with time split between our Lisbon office and remote work
- Access to certifications, trainings, mentorship, and career mobility
- 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
Compensation
201–500
Locations
- Lisbon, Portugal (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
45,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Process Intelligence tools like Celonisintermediate
- SAP processesintermediate
- BPM toolsintermediate
- Data analysis toolsintermediate
- Data visualization toolsintermediate
- Scripting languagesintermediate
- RAG pipelinesintermediate
- Prompt engineeringintermediate
- AI/ML and GenAI toolingintermediate
Required Qualifications
- Degree in an IT discipline or similar relevant subject (experience)
- Hands-on experience with Process Intelligence tools like Celonis (experience)
- Domain knowledge expertise with multiple SAP processes (experience)
- Knowledge of BPM tools and their standard practices (experience)
- Proficiency in data analysis tools and experience with data visualization tools (experience)
- Hands-on experience scripting languages (experience)
- Knowledge of RAG pipelines & prompt engineering (experience)
- Excellent problem-solving skills and the ability to work with large, complex datasets (experience)
- Strong understanding of data governance frameworks, tools, and best practices (experience)
- Knowledge of data protection regulations and compliance requirements (experience)
Responsibilities
- Collaborate cross functionally to perform data integration, create data models, design and develop dashboards and action flows
- Take ownership for the design, build, maintenance and analysis of data to drive business decisions
- Run discovery workshops with various business stakeholders to Model and design processes using BPMN
- Perform process and root cause analysis to identify metrics & KPIs
- Use AI assistants to speed extraction, modeling, analysis and surface insights
- Stay current with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums
Benefits
- general: Comprehensive benefits in healthcare, finance, and well-being
- general: Hybrid work model with time split between our Lisbon office and remote work
- general: Access to certifications, trainings, mentorship, and career mobility
- general: Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide
- general: Modern Tech Stack – Cloud-first, automation-focused, AI-powered
- general: Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams
Tags & Categories