Data Engineer - SAP S/HANA Transformation
Listed on 2026-01-01
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IT/Tech
Data Engineer, Data Analyst
Overview
At Terumo Blood and Cell Technologies, our 8,000+ global associates pride themselves in coming to work each day, knowing that what we do impacts the lives of patients around the world.
For Terumo, for Everyone, Everywhere.
We make medical devices and related products that are used to collect, separate, manufacture and process various components of blood and cells. With our innovative technologies and service offerings, we touch a patient’s life every second of every day and are committed to continuing to increase the number of patients we serve.
Advancing healthcare with heart.
With some of the best and brightest minds in the industry, an unmatched global footprint, comprehensive benefits and a distinct culture, Terumo Blood and Cell Technologies is a great place to work, grow and be part of a team that is focused on making a difference.
Join us and help shape wherever we go next. You create your future and ours.
The Data Engineer - SAP S/4
HANA 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/4
HANA. 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/4
HANA 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/4
HANA 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.
HANA Data Migration, Validation & Governance
- Support migration from SAP ECC to S/4
HANA 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.
- 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.
- 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.
- 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…
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