Data Engineer

• As a Data Engineer on the Enterprise Data & Intelligence team, you will design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth.
• You will gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform.
• You will collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams.
• As Fourth moves towards an AI-native operating model, you will play a key role in building and maintaining the data infrastructure that enables AI-powered analytics and decision-making across the business.

Data Engineer – Enterprise Data, Intelligence

• Lead end-to-end SAP S/4HANA data migration initiatives and ensure a smooth cutover
• Design and implement MDM and SAP MDG governance frameworks
• Ensure high data quality, integrity, and consistency across all master data domains
• Collaborate closely with business stakeholders and SAP functional teams to align data and processes
• Guide junior colleagues and offshore teams as a trusted SAP Data SME

SAP MDM, Data Migration Specialist

• Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability
• Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation
• Provide leadership and mentorship to junior team members through training, pair programming, and code reviews
• Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals
• Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets
• Work directly with a development team in California and other offshore development team members in various time zones
• Able to overlap with US West coast 3 – 4 hours to handle hand-over discussions, triage issues, etc.

Senior Data Engineer

• Design, build, and maintain data pipelines across ingestion, transformation, and delivery layers
• Implement transformations that apply business rules and produce clean, governed datasets
• Ensure pipelines are performant, observable, and maintainable
• Develop data quality checks, tests, and validations to meet data contracts and business requirements
• Investigate and resolve data quality issues in development and production
• Adhere to agreed engineering standards, naming conventions, and code review practices
• Ensure all work is documented, version-controlled, and maintainable by the team
• Collaborate with engineering and data stakeholders on pipeline design and data requirements

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Data Engineer – Enterprise Data, Intelligence

SAP MDM, Data Migration Specialist

Senior Data Engineer

Data Engineer