Senior data modeler Work, Jobs in Carrickfergus District, Ant (with Salaries)

Data Modeler (Corporate Functions)
Wolfspeed Services UK Limited —Belfast
- Salesforce
- Analysis skills
- Agile
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Data Modeler (Corporate Functions)
Wolfspeed Services UK Limited —Belfast
Exposure to Snowflake as the analytics warehouse platform. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-…
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Data Modeler (Corporate Functions)

Wolfspeed Services UK Limited -
Belfast

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Job details

Qualifications

Data modelling
User stories
Requirement elicitation
SAP
Stakeholder liaison
Salesforce
Business analysis
ERP software
Internal department liaison
Requirements gathering workshops
Data and database experience
Analysis skills
SAP Finance & Controlling
Data pipeline
Agile
Business requirements
SAP ERP
Communication skills

Full job description

We 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

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Data Modeler (Corporate Functions)

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