Data Engineer

Key Responsibilities

• Getting code into production: Ability to get code of all types—including new features, configuration changes, bug fixes, and experiments—into production, or into the hands of users, safely and quickly in a sustainable way.
• Requirement Analysis and Articulation: Ability to use relevant artifacts, approaches and processes to understand and communicate what is required and why it is required.
• Estimation: Ability to apply various estimation techniques to predict the most realistic amount of effort required to develop or maintain software based on incomplete, uncertain and noisy input.
• Continuous Integration: Ability to write code in a way that supports Continuous Integration of code, that is, frequently committing changes to a single trunk or master.
• Performance & Scalability Engineering: Ability to assess, recommend, design, implement, optimize, and troubleshoot measures to ensure systems perform as needed. This includes responsiveness, coping with traffic load, coping with large data sets, and processing times.
• Securing Applications: Ability to design and implement software which exhibits good security properties and which avoids common weaknesses and vulnerabilities.
• Legacy remediation: Ability to operate in or around older systems, and devise and execute strategies for modernizing and improving them. 
• This includes awareness of a range of legacy architectures and the patterns and tactics for the stabilization, remediation or replacement of them. 
• The ability to analyze the technical, business, and operational pain-points of applications and broader systems. 
• Identifying incremental steps towards a future state architecture, including techniques for stabilizing with test harnesses, intercepting and rerouting or duplicating functional and data flows, extraction of services or tiers, wrapping with facades or adapters, refactoring, and strangulation and end-of-life.
• Emotional Intelligence: recognizes, understands and manages their own emotions and recognizes, understands, shares and influences the emotions of others.
• Collaboration: works jointly with others to co-create and achieve a common goal. This includes learning, practising and experimenting with tools, techniques and frameworks that foster collaborative working environments.

Skills, Knowledge and Expertise

• SQL
• Data Visualization
• Data Analytics
• SQL performance
• SQL query tuning
• SQL monitoring
• SQL Data warehousing
• SQL Indexing
• Star Schema Design
• ETL processes
• Data modelling
• Azure Data Factory
• Azure Storage Accounts
• Blob Storage

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.