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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** MandM - **Location:** Hereford, UK - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Data Analysis, BigQuery, Computer Programming, Data Validation, Data Cleansing, Data Governance, Data Infrastructure, Data Integrity, Data Transformation, Python (Programming Language), Machine Learning, Raw Data, SQL Databases, Technical Data Management Systems, Data Processing, Scripting, Freeform SQL, Google Cloud, Cloud Platform System, Sql Optimization, Git, Pandas, Dataiku, Software Version Control, Data Pipelines - **Published:** June 17, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=d37d249fd628332c ## About the Role Do you have experience in SQL?, * Advanced SQL & Data Modelling: You are an expert at writing highly optimised, complex SQL queries and have a proven track record of structuring messy data into clean schemas. * dbt or Dataform Exposure: You understand data transformation tools and best practices. If you already have a dbt accreditation or experience building with it, that's a massive bonus! * Core Programming: Comfort writing basic Python scripts (e.g., using Pandas) for data manipulation and pipeline development. * Cloud Ecosystems: Hands-on experience working within cloud environments. Familiarity with Google Cloud Platform (GCP) or BigQuery is highly advantageous. * Engineering Principles: A solid understanding of git/version control, data cleaning techniques, and data quality checks. * Industry Agnostic: We care about your technical data skills, not your industry background-retail experience is not required. Desirable * Experience with workflow orchestration tools like Dataiku or Apache Airflow. ## Description MandM is evolving how we harness the power of data, bridging the gap between core infrastructure and cutting-edge data science initiatives. As we shape this brand-new function within the business, we are looking for an Analytics Engineer who will report directly to our Analytics Manager and act as the driving force behind our data transformation and modelling practices. This is a role with true ownership. You will deep-dive into our data ecosystem, taking raw data and turning it into high-performing, clean, and reliable pipelines. If you love writing advanced SQL, want the autonomy to introduce modern data tools (like dbt), and are excited to help optimise workflows and support machine learning projects, this is the perfect opportunity to make a massive impact from day one., Reporting directly to the Analytics Manager, you will lead the charge in making our data pipelines work smarter and better. While this role sits on the engineering side of data, it requires a strong analytical mindset. You will navigate our Google Cloud Platform (GCP) ecosystem, evaluating and redesigning workflows to support downstream business intelligence and machine learning models. You don't need to be a software developer, but you do need to be passionate about clean code, robust data modelling, and data reliability. Role key responsibilities: Data Modeling & Workflow Optimisation * Transform raw, complex data into clean, well-tested, and fully documented datasets that empower downstream analytics and business intelligence. * Evaluate, redesign, and continuously improve existing data workflows to maximise efficiency, performance, and scalability. * Champion modern data engineering best practices, helping the team introduce and implement tools like dbt or Dataform to establish a single source of truth. ML & AI Deployment Support * Partner closely with Data Scientists to help operationalise, deploy, and maintain machine learning and AI models in stable production environments. * Utilize Python to build data manipulation scripts that transition automated data projects out of development environments into production. Monitoring & Quality Assurance * Take a lead role in shaping, implementing, and maintaining robust alerting and monitoring solutions to guarantee data quality and system health. * Help track data reliability and model drift detection to ensure accuracy for the wider business. Collaboration & Data Governance * Work alongside data scientists, data engineers, the technology team, and business stakeholders to ensure our data infrastructure aligns with strategic retail goals. * Manage all person-identifiable data with due care and diligence, ensuring compliance with Data Protection and Privacy Policies. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)