ServiceNow Integration Engineer

As a ServiceNow Integration Engineer you’ll design and deliver the data, integration and automation backbone of our ITAM & CMDB ecosystem, improving Asset Data Quality and Topology Coverage, modernizing how ITAM data flows between systems, and enabling AIOps-ready operations.

What you’ll do

• Implement and deploy scalable engineering capabilities across the ITAM and CMDB ecosystem: covering data ingestion, normalization, reconciliation, quality and reporting.
• Build and operate automated Asset Data Quality rules and scorecards (completeness, consistency, correctness, timeliness) across ITAM, CMDB and adjacent systems, and publish them to the scorecards.
• Engineer the Topology Coverage baseline by extending ServiceNow Discovery patterns, Identification & Reconciliation Engine (IRE) rules and CSDM-aligned CI relationships across priority business application clusters.
• Develop and modernize ITAM integrations across the ecosystem (enterprise architecture, risk/GRC, Azure/GCP discovery sources, SAP) using industry-standard protocols (REST, SOAP, event-driven).
• Build data products and dashboards (SQL, Power BI, ServiceNow Performance Analytics) that turn ITAM data into actionable insights for Architecture, Security, FinOps and Engineering stakeholders.
• Contribute to the elimination of ITAM / CMDB technical debt - reduce custom scripts, UI policies and direct integrations, favor out-of-the-box patterns, and produce the engineering evidence that informs the ServiceNow platform RFP.
• Champion Agile, DevOps and Continuous Deployment practices - CI/CD, automated testing (target 60% coverage from a 0% baseline), code reviews and engineering guardrails.
• Collaborate with cross-functional teams - Solution Architect, Product Owners, ITSM and SRE engineers, AI engineers and architects - to ensure platform capabilities and business outcomes stay aligned.
• Continuously upskill toward ServiceNow ITAM / CMDB / Discovery development and toward emerging IT operations technologies (Agentic AI, AIOps, observability).

• 4+ years in an engineering role (Software, Data, Integration, Platform or Site Reliability Engineer).
• Proficiency in at least one modern language, preferably Python or JavaScript.
• Solid SQL and relational data modelling (joins, aggregations, schema design, query optimization).
• Experience integrating systems via RESTful APIs (event-driven/messaging a plus).
• Solid software engineering fundamentals (OOP, TDD, SOLID, unit/integration testing, SDLC).
• Working understanding of data quality concepts and ability to translate them into automated rules and reports.
• Strong analytical and problem-solving skills; fast learner of new technologies.
• Willingness to learn new technologies and paradigms - ServiceNow (ITAM / CMDB / Discovery), JavaScript, Agentic AI - and to stay up to date with the latest trends in IT Asset Management, CMDB / CSDM, observability and AIOps.
• English proficiency and at least a Bachelor’s degree in Computer Science, Information Systems, Computer / Systems / Industrial Engineering, Software Development or a related field.

Preferred Qualifications:

• Hands-on experience with ServiceNow or other ITSM / ITAM / CMDB platforms (configuration or development).
• Exposure to CSDM (Common Service Data Model) and IT asset lifecycle concepts (Hardware Asset Management, Software Asset Management, contracts, vendor data).
• Experience designing and operating data quality frameworks and reporting solutions in Power BI (or equivalent BI tools).
• Experience delivering and administrating solutions on cloud frameworks, preferably Azure (data services such as ADF, Synapse, Data Lake; integration services).
• Knowledge and/or experience with CI/CD tooling and DevOps practices (Update Sets, ATF, Git-based workflows, automated testing).
• Understanding of AI / ML concepts and exposure to Agentic AI use cases in IT operations.
• ServiceNow certifications (e.g., Certified System Administrator, Certified Application Developer, Certified Implementation Specialist -ITAM or Discovery preferred).
• Working knowledge of Python / PySpark for data reconciliation, lineage and large-scale data processing.
• Knowledge of SCRUM / SAFe and experience working in Agile Release Trains or PI Planning environments.

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.
• Wide range of self-development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions - in line with your results and performance.
• Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

At Procter & Gamble we build brands trusted by billions and behind them a world-class technology organization. Our Modern IT Asset Management (ITAM) team in Warsaw is on a major digital transformation journey: turning IT asset data into a trusted, AI-ready source of truth for every application and infrastructure component across the company. Join us to build the data quality, integration and automation capabilities that power proactive, automation-led IT operations at global scale (145,000+ users).