Terumo Blood and Cell Technologies
Data Engineer - SAP S/4HANA Transformation
Terumo Blood and Cell Technologies, Lakewood, Colorado, United States
Terumo Blood and Cell Technologies provided pay range
This range is provided by Terumo Blood and Cell Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $102,000.00/yr - $127,500.00/yr
Direct message the job poster from Terumo Blood and Cell Technologies
Recruiter at Terumo Blood and Cell Technologies JOB SUMMARY
The Data Engineer – SAP S/4HANA Transformation is a critical member of the global program team responsible for designing, building, and sustaining data structures, pipelines, reporting capabilities, and analytics solutions that support the enterprise transition from SAP ECC to SAP S/4HANA.
This role blends deep data engineering expertise with hands‑on system transformation work. It ensures that data is accurate, accessible, harmonized, and trusted across the organization—enabling informed decision‑making throughout Terumo’s SAP S/4HANA future‑state environment.
The role collaborates extensively with IT, Global Process Owners, Manufacturing, Supply Chain, Quality, Finance, Organizational Development, and external system integrators.
ESSENTIAL DUTIES
Represent Data & Analytics in global SAP design sessions, ensuring data architecture, models, and reporting requirements are embedded in future‑state S/4HANA processes.
Help define the enterprise data strategy required to support a unified global analytics platform.
Translate business and functional requirements into scalable data structures, pipelines, and integrations.
Partner with process teams to ensure data readiness, quality, and governance standards are adhered to throughout the program.
S/4HANA Data Migration, Validation & Governance
Support migration from SAP ECC to S/4HANA by designing data validation routines, data transformation logic, and quality checks.
Maintain visibility and data consistency throughout cutover, execution, and stabilization.
Identify data‑related risks, gaps, and errors; recommend remediation approaches.
Partner with Master Data, IT, and business functions to support proper data governance and controls.
Analytics Platform Development & Optimization
Build and optimize data pipelines, integrations, and automations needed to support operational, financial, and supply chain analytics.
Manage data ingestion from SAP and non‑SAP sources into the global analytics environment.
Ensure solutions are scalable, secure, and aligned to modern best practices.
Continuously review current and future data structures with an eye toward simplification and performance.
Reporting, Insights & Visualization
Develop dashboards, KPIs, and analytics products supporting the global manufacturing network and enterprise operations.
Partner with functional teams to design role‑based self‑service reporting capabilities.
Publish standardized KPIs and reporting packages required for internal business needs.
Provide ad hoc analyses for strategic initiatives and executive decision‑making.
Stakeholder Collaboration & Cross‑Functional Leadership
Collaborate with Manufacturing, Supply Chain, Finance, Quality, and other functions where accurate data is essential.
Serve as a trusted advisor during process design, testing, and deployment cycles.
Work closely with Organizational Development and Change Management teams to ensure data concepts, tools, and systems are incorporated into training and learning materials.
Support stabilization and transition to steady‑state ownership following go‑live.
Enhance data processes, structures, and reporting capabilities based on end‑user feedback.
Monitor data quality and system performance; recommend enhancements or optimizations.
Identify and implement opportunities to automate, streamline, and standardize data workflows.
MINIMUM QUALIFICATION REQUIREMENTS Education Bachelor’s degree in Industrial Engineering, Software Engineering, Data Science, Computer Science, or related field; or equivalent combination of education and experience.
Experience
5–8 years of experience in data engineering, BI, analytics, or related fields.
Strong understanding of manufacturing and supply chain data flows.
Proven experience developing analytics platforms, data pipelines, and reporting ecosystems.
SAP ECC or S/4HANA experience strongly preferred.
Experience supporting large‑scale systems transformations is a plus.
Skills
Advanced SQL and expertise in database design (Oracle, SQL Server, or similar).
Experience with BI tools such as Power BI or Tableau.
Proficiency with Microsoft Azure and modern data engineering frameworks.
Knowledge of PowerShell or similar automation frameworks.
Strong analytical capabilities and attention to detail.
Ability to communicate clearly and collaborate with cross‑functional teams.
Strong problem‑solving skills with the ability to manage multiple priorities.
Self‑starter capable of working in a fast‑paced, ambiguous environment.
Certifications Certifications in data engineering, cloud architecture, or analytics platforms are a plus.
PHYSICAL REQUIREMENTS Typical Office Environment requirements include: reading, speaking, hearing, close vision, walking, bending, sitting, and occasional lifting up to 20 pounds.
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
Additional Requirements
Full‑time participation in the SAP S/4HANA transformation program.
Up to 10% global travel may be required.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Medical Equipment Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
Disability insurance
Paid maternity leave
Paid paternity leave
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Base pay range $102,000.00/yr - $127,500.00/yr
Direct message the job poster from Terumo Blood and Cell Technologies
Recruiter at Terumo Blood and Cell Technologies JOB SUMMARY
The Data Engineer – SAP S/4HANA Transformation is a critical member of the global program team responsible for designing, building, and sustaining data structures, pipelines, reporting capabilities, and analytics solutions that support the enterprise transition from SAP ECC to SAP S/4HANA.
This role blends deep data engineering expertise with hands‑on system transformation work. It ensures that data is accurate, accessible, harmonized, and trusted across the organization—enabling informed decision‑making throughout Terumo’s SAP S/4HANA future‑state environment.
The role collaborates extensively with IT, Global Process Owners, Manufacturing, Supply Chain, Quality, Finance, Organizational Development, and external system integrators.
ESSENTIAL DUTIES
Represent Data & Analytics in global SAP design sessions, ensuring data architecture, models, and reporting requirements are embedded in future‑state S/4HANA processes.
Help define the enterprise data strategy required to support a unified global analytics platform.
Translate business and functional requirements into scalable data structures, pipelines, and integrations.
Partner with process teams to ensure data readiness, quality, and governance standards are adhered to throughout the program.
S/4HANA Data Migration, Validation & Governance
Support migration from SAP ECC to S/4HANA by designing data validation routines, data transformation logic, and quality checks.
Maintain visibility and data consistency throughout cutover, execution, and stabilization.
Identify data‑related risks, gaps, and errors; recommend remediation approaches.
Partner with Master Data, IT, and business functions to support proper data governance and controls.
Analytics Platform Development & Optimization
Build and optimize data pipelines, integrations, and automations needed to support operational, financial, and supply chain analytics.
Manage data ingestion from SAP and non‑SAP sources into the global analytics environment.
Ensure solutions are scalable, secure, and aligned to modern best practices.
Continuously review current and future data structures with an eye toward simplification and performance.
Reporting, Insights & Visualization
Develop dashboards, KPIs, and analytics products supporting the global manufacturing network and enterprise operations.
Partner with functional teams to design role‑based self‑service reporting capabilities.
Publish standardized KPIs and reporting packages required for internal business needs.
Provide ad hoc analyses for strategic initiatives and executive decision‑making.
Stakeholder Collaboration & Cross‑Functional Leadership
Collaborate with Manufacturing, Supply Chain, Finance, Quality, and other functions where accurate data is essential.
Serve as a trusted advisor during process design, testing, and deployment cycles.
Work closely with Organizational Development and Change Management teams to ensure data concepts, tools, and systems are incorporated into training and learning materials.
Support stabilization and transition to steady‑state ownership following go‑live.
Enhance data processes, structures, and reporting capabilities based on end‑user feedback.
Monitor data quality and system performance; recommend enhancements or optimizations.
Identify and implement opportunities to automate, streamline, and standardize data workflows.
MINIMUM QUALIFICATION REQUIREMENTS Education Bachelor’s degree in Industrial Engineering, Software Engineering, Data Science, Computer Science, or related field; or equivalent combination of education and experience.
Experience
5–8 years of experience in data engineering, BI, analytics, or related fields.
Strong understanding of manufacturing and supply chain data flows.
Proven experience developing analytics platforms, data pipelines, and reporting ecosystems.
SAP ECC or S/4HANA experience strongly preferred.
Experience supporting large‑scale systems transformations is a plus.
Skills
Advanced SQL and expertise in database design (Oracle, SQL Server, or similar).
Experience with BI tools such as Power BI or Tableau.
Proficiency with Microsoft Azure and modern data engineering frameworks.
Knowledge of PowerShell or similar automation frameworks.
Strong analytical capabilities and attention to detail.
Ability to communicate clearly and collaborate with cross‑functional teams.
Strong problem‑solving skills with the ability to manage multiple priorities.
Self‑starter capable of working in a fast‑paced, ambiguous environment.
Certifications Certifications in data engineering, cloud architecture, or analytics platforms are a plus.
PHYSICAL REQUIREMENTS Typical Office Environment requirements include: reading, speaking, hearing, close vision, walking, bending, sitting, and occasional lifting up to 20 pounds.
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
Additional Requirements
Full‑time participation in the SAP S/4HANA transformation program.
Up to 10% global travel may be required.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Medical Equipment Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
Disability insurance
Paid maternity leave
Paid paternity leave
Referrals increase your chances of interviewing at Terumo Blood and Cell Technologies by 2x
Get notified when a new job is posted.
Sign in to set job alerts for “Data Engineer” roles.
#J-18808-Ljbffr