ServiceNow SPM Consultant & Quality Integration Engineer (m/f/d)
Porto, PT
ServiceNow SPM Consultant & Quality Integration Engineer (m/f/d)
- Act as the go-to person for SPM platform questions and data-related issues raised by Business Area users or the application team.
- Support go-live phases by coordinating with data owners to ensure portfolio data is clean, complete, and ready for use.
- Contribute to integration tests and UAT, ensuring data correctness and that the platform behaves as business users expect.
- Build a solid understanding of how innovation and R&D portfolio management works in practice — including project lifecycles, key data entities (status, budgets, resources, milestones), and what good data looks like from a business perspective.
- Use that understanding to actively curate portfolio data — identifying issues that pass technical checks but are wrong in a business context, and working with data owners to resolve them.
- Act as a practical advisor to Business Area data owners, helping them understand data quality requirements and improve discipline at the source.
- Design and run data quality checks covering completeness, consistency, accuracy, and referential integrity — as part of ingestion pipelines and as regular operational health checks.
- Maintain a data quality monitoring framework in ServiceNow SPM, including dashboards and exception reports that give stakeholders clear visibility of platform health.
- Document findings, root causes, and fixes in a structured way; track recurring issues and drive lasting solutions rather than one-off patches.
Data Quality & Governance
- Define SPM ServiceNow data quality standards and validation rules for all data imported.
- Maintain data dictionaries, field mappings, and transformation logic — ensuring they reflect how the business actually uses the data.
- Establish and maintain data dictionaries, field mappings, and transformation logic across all connected data sources.
- Conduct regular data audits and reconciliation checks between source systems and ServiceNow SPM.
Data Integration & Ingestion
- Design, build, and operate integration pipelines connecting third-party systems (SAP, Excel, project management tools) to ServiceNow SPM.
- Translate portfolio management requirements into integration specs using ServiceNow-native capabilities
- Collaborate closely with the Project Manager, ServiceNow platform team, and BA/BU data owners to align integration design with business needs.
Automation & Vibe Coding
- Automate repetitive data tasks using scripted and low-code approaches, including AI-assisted coding techniques.
- Develop and maintain automation scripts (JavaScript/Glide in ServiceNow; Python for pre-processing) to reduce manual effort and improve reliability.
Your profile
Education
- University degree (Bachelor's or Master's) in Computer Science, Software Engineering, Information Systems, or a comparable technical field.
Professional Experience
- Hands-on experience with ServiceNow, preferably SPM, PPM, or adjacent modules.
- 3–5 years in roles combining platform operations, data management, or system integration — ideally in an enterprise environment.
- Practical experience with data quality management, data migration, or integration projects.
Technical Skills
- ServiceNow platform experience, SPM/PPM modules preferred
- Import Sets, IntegrationHub, Flow Designer, and Glide scripting are a plus.
- Proficiency in JavaScript/Glide or Python.
- Good understanding of data modelling, APIs (REST/SOAP), and data transformation.
- Comfortable with low-code tools and AI-assisted development approaches.
Mindset
- Intellectually curios and willing to engage with business content — not just data structures.
- Having an understanding that clean, meaningful data is the ultimate deliverable.
Languages
- Fluency in English (written and spoken) – mandatory.
- German language skills are an advantage given Körber's headquarters environment.
Personal Competencies
- Precision & Ownership - Takes responsibility for data accuracy end-to-end; does not consider a task complete until the data is verified and reliable.
- Structured Problem-Solving - Analyses root causes of data issues systematically; uses evidence to drive decisions.
- Collaborative Mindset - Works effectively with non-technical stakeholders (BA data owners, process managers) as well as with IT architects and developers.
- Continuous Improvement - Actively seeks opportunities to automate and streamline; reflects on failures and acts on lessons learned.
- Adaptability - Comfortable working in a fast-paced, evolving project environment with changing requirements.
Your benefits
- Our benefits vary depending on the country of employment. Country-specific benefits will be discussed individually during the interview process.
Your working environment
- A technically challenging and highly visible role at the core of a mission-critical group-wide transformation programme.
- Direct impact on the data foundation that powers Körber's global innovation portfolio management.
- Close collaboration with senior stakeholders and exposure to leading-edge enterprise technology.
- A modern, collaborative work environment with flexible working arrangements and a culture that values continuous learning.
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