Data Modeler (Corporate Functions)

Wolfspeed; Belfast; Híbrido; GBP 50 000 - 70 000; Tempo integral

Resumo da oferta

Wolfspeed in Belfast is looking for a Data Modeler to join the Corporate Data Intelligence Team. In this hybrid role, you will bridge business stakeholders with data platforms, focusing on SAP ERP and Salesforce.

Your responsibilities include leading requirements gathering sessions, designing data models, and collaborating with analytics teams. Strong experience in data modeling and SQL is essential. This role offers dynamic challenges and an opportunity to impact data-driven decisions across corporate functions.

Qualificações

• Proven hands-on experience in data modelling including dimensional modelling.
• Strong working knowledge of SAP ERP and its modules.
• Advanced SQL skills to validate data against business definitions.

Responsabilidades

• Lead requirements gathering sessions with business stakeholders.
• Design and maintain data models for corporate domains.
• Develop dbt models to support analytics and reporting use cases.

Conhecimentos

Data modeling

Advanced SQL

Requirements gathering

SAP ERP

Salesforce (SFDC)

Data consistency

Ferramentas

dbt

SAP MDG

Snowflake

Descrição da oferta de emprego

## Data Modeler (Corporate Functions)Applyremote type: Hybrid - Remote and Onsitelocations: Belfast, Northern Irelandtime type: Full timeposted on: Posted Yesterdayjob requisition id: 26-480We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions. **Overview of the Role**You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead.**Your Day-to-Day – We do what others say can't be done*** Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions* Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning* Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases* Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks* Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies* Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries* Ensure data consistency and integrity across domains through well-governed master data modelling practices* Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain* Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets* Act as the liaison between business domain owners and the data platform team**Your Profile – Ready to Join the Pack?*** Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design* Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes* Hands-on experience with dbt - model development, testing, documentation, and macros* Advanced SQL skills with ability to profile, analyze, and validate data against business definitions* Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently* Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs* Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams**Nice to Have*** Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)* Exposure to Snowflake as the analytics warehouse platform* Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms* Experience in a manufacturing, semiconductor, or high-tech industry environment* Familiarity with Agile delivery methodology