Analytics Engineer

Key Responsibilities

• Design and develop well-structured, reusable and analytics-ready data models within the data warehouse.
• Build and maintain fact and dimension models with clear grain, keys, relationships, business definitions and historical data handling.
• Develop complex SQL queries, stored procedures and views to transform and combine data from multiple sources.
• Investigate unfamiliar or poorly documented source systems to understand relationships, business rules and data-quality considerations.
• Design efficient and maintainable data transformation and loading processes, including incremental load or refresh approaches where appropriate.
• Reconcile source data with warehouse outputs, identifying and resolving data-quality or logic issues.
• Work with BI colleagues to understand reporting, semantic model and Power BI requirements, ensuring warehouse models are practical for downstream use.
• Document data models, transformation logic, assumptions and known limitations clearly and consistently.
• Apply testing, source control and development standards to ensure solutions are robust, maintainable and scalable.
• Manage priorities, dependencies and delivery risks, communicating progress and raising blockers early.

Skills, Knowledge and Expertise

• Strong SQL Server experience, including advanced SQL development, stored procedures, views and performance-aware query design.
• Experience designing and developing data warehouse models for reporting and analytics.
• Good understanding of dimensional modelling concepts, including facts, dimensions, grain, keys and relationships.
• Experience transforming, combining and reconciling data from multiple source systems.
• Ability to investigate complex or poorly documented datasets and establish trusted business logic.
• Understanding of data quality, testing, documentation and maintainable engineering practices.
• Experience working with BI teams, reporting requirements and downstream analytical or semantic models.
• Ability to take ownership of work, manage priorities and deliver to agreed timescales.
• Clear communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.

Desirable Skills and Experience

• Experience supporting Power BI reporting, semantic models or other BI and analytics platforms.
• Experience working in a SaaS, EdTech, payments or education-focused environment.
• Knowledge of source control, deployment processes and data engineering development standards.
• Experience improving existing data warehouse logic, reducing duplication and increasing model reusability.

About
At ParentPay Group, we believe that when schools run well, students thrive. That’s why we’ve spent decades building the operating system that supports well‑run schools – a seamless layer of tools, insights, and support that makes school life simpler for teachers, leaders, caterers, parents, and students alike.From cashless payments and parent engagement to catering management, library systems, and MIS platforms, we connect the everyday parts of education through simple, secure, and connected tools. What began as a way to make school payments easier has grown into Europe’s leading EdTech group – trusted by over 20,000 schools and 9 million users across the UK and Europe.Every day, our platforms process millions of payments, messages, and data points, quietly working in the background so schools can shine out front. Together, we’re helping schools save time, cut costs, and create more time for learning.ParentPay Group is more than a collection of brands. We are a group of people dedicated to supporting well‑run schools and giving time back to teachers, parents, caterers, admin staff – and most importantly, to students.