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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Specialist - Data Analytics Engineer - **Company:** Morrisons - **Location:** Wellington, UK - **Contract:** Permanent contract - **Skills:** Test Suite, Abstraction Layers, Agile Methodology, Data Analysis, BigQuery, Cloud Computing, Data Architecture, Data Validation, Data Dictionary, Data Infrastructure, Data Profiling, Data Structures, Database Testing, Metadata, Meta-Data Management, Metadata Repositories, Raw Data, SQL Databases, Technical Data Management Systems, Google Cloud, Git, Data Layers, Data Analytics, Software Version Control, Jenkins - **Published:** October 27, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/data-specialist-data-analytics-engineer/53904460 ## About the Role are accurate and accessible.ColleagueChampion data literacy, modelling best practices, and standard transformation guidelines across the trainee data practitioners on SQL standards, data testing, version control, and business domain context.Facilitate clear communication between technical engineering teams and non-technical business stakeholders.Cash & ProfitSupport a lean working culture by building optimised, reusable conformed data layers that minimise processing waste and lower GCP cloud compute costs.Reduce duplicate engineering efforts by consolidating redundant metrics into centralised analytical data models.OperationalDesign, code, test, and deploy secure, maintainable data models and transformations using modern data tools (e.g., SQL, Dataform) in Google Cloud , maintain, and govern the centralised semantic layer (e.g. LookML, or cloud data catalog metrics) to deliver consistent, trusted business definitions across all reporting enterprise domain ontologies into relational data, domain ontologies and translate entity relationships, (e.g., supplier-to-product-to-store hierarchies) into structured dimensional schemas.Advanced SQL: Exceptional SQL capabilities for data profiling, transformation, aggregation, and performance tuning.Data Transformation & CI/CD: Practical experience using transformation tools (e.g. Dataform) and version control workflows (Git, Jenkins) to deploy maintainable code.Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity.Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets.Stakeholder Translation: Excellent ability to communicate complex data structures to non-technical business users.Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies.Desirable:Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud ## Description More about the roleOur Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation and enabling advanced decision-making. Utilising our Google Cloud data platform, the Analytics Engineer transforms raw data from across our operations from field to fork into optimised, reliable, and well-documented data models and data products. You will bridge the gap between technical data pipelines and business insight, enabling analysts and leaders to make faster, better-informed decisions. AccountabilitiesThe role will have the following accountabilities:CustomerBuild trusted relationships with data consumers and business analysts across internal functions.Translate business processes, operational requirements, and user feedback into robust data architecture and optimised analytical data model delivery for the domain area, ensuring documentation and data definitions, models, ensuring business concepts and their relationships accurately mirror real-world retail and supply chain processes.Implement and maintain metadata repositories, data dictionaries, and lineage tools within the enterprise data test conditions and execute automated data quality scripts to validate datasets before production release.Continually refine existing models to adapt to operational changes, platform upgrades, and new business priorities.More about you What we're looking for:Skills, Qualifications and ExperienceAs a Data & Analytics Specialist - Analytics Engineer you will have experience of: Data Modelling: Proven experience building and maintaining data models using recognised patterns (e.g., Kimball, Inmon, dimensional modelling).Semantic Layer Architecture: Hands-on experience building and managing centralised semantic layers, metrics tiers, or business abstraction layers in modern data tools.Business Ontology & Domain Mapping: Proven, ability to analyse complex enterprise