Data Specialist - Data Analytics Engineer

Morrisons; Tonedale; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

15% discount in store from day one

Annual bonus scheme

Generous holiday entitlement

Private Healthcare

Free parking onsite

Job summary

Morrisons is seeking an Analytics Engineer to turn diverse data from across retail and supply chain into clean, well-documented data models and products on the Google Cloud platform.

You will bridge the gap between data pipelines and business insight, enabling analysts and leaders to make faster, better-informed decisions with robust metadata and governance. Strong SQL, LookML, and data tooling are essential.

Qualifications

• Experience building and maintaining data models using recognised patterns (Kimball, Inmon, dimensional modelling).
• Hands-on experience building centralised semantic layers, metrics tiers, or business abstraction layers.
• Ability to analyse complex enterprise data structures and map them to business concepts.

Responsibilities

• Build and maintain data models and transformations, ensuring documentation and data definitions mirror real-world retail and supply chain processes.
• Translate requirements into robust analytical data models and data products for reporting and decision-making.
• Collaborate with data consumers and analysts to ensure data quality and governance are embedded.

Skills

Data modelling

Semantic layer architecture

Domain mapping

Advanced SQL

Stakeholder communication

Delivery frameworks

Tools

Dataform

Git

Looker/LookML

BigQuery

Jenkins

Cloud data catalog

Job description

More about the role

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.

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

• 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
• 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
• providers (AWS/Azure).
• Programming Languages: Proficiency in Python, R, or general-purpose scripting languages.
• Analytics Tools: Exposure to visualisation software (e.g., Looker, Looker Studio) and proficiency in Look ML.
• Domain Experience: Experience in FMCG, retail, manufacturing, supply chain, or logistics environments.
• Modern Architectures: Exposure to Data Mesh concepts, domain-driven data ownership, or data catalog tools.

More about our perks

• 15% discount in store from the day you join us
• Additional 10% discount card for a friend or family member
• Annual bonus scheme
• Career progression and development opportunities
• Generous holiday entitlement
• Market leading pension scheme and life assurance
• Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers
• Free parking onsite
• Enhanced Family, Maternity and Paternity Leave
• Private Healthcare
• Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly.

We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking!At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success.

Starting as a Bradford market stall, we are proud to be the Yorkshire retailer now serving over 11 million customers nationwide each week. We're unique: both foodmakers and shopkeepers, processing our own fresh produce and preparing more food in-store than any other supermarket.

We offer real opportunities to build your career across our stores, sites, and support teams. We're a down-to-earth team that values hard work, reliability, and great customer service. If you're friendly, dependable, and ready to get stuck in, there's always More to Morrisons for you.

Morrisons is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve.

We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it's required.