Senior Software Engineer

Huddersfield
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - .NET Core, Blazor, SQL Server

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Software Engineer | Hybrid Working | Award-Winning SaaS | £55,000 – £65,000 DOE | Tech for Good

Are you a passionate Full Stack Developer looking to make a real impact with your code? Join an award-winning EdTech SaaS company based in Huddersfield that's transforming education outcomes across the UK and internationally.

You’ll be joining a highly skilled, agile team building modern, scalable software using the latest in Microsoft and JavaScript technologies. We’re looking for someone who’s just as confident building intuitive, responsive front ends in React and TypeScript as they are architecting robust back-end systems in .NET and SQL.

What You’ll Be Doing

• Collaborating in an agile, Scrum-based team to build and enhance features in our flagship education platform
• Solving complex problems through clean, maintainable code using best practices like SOLID, DRY, and test-first development
• Tracing and fixing bugs, refactoring legacy code, and contributing to architectural decisions
• Advising Product Owners and cross-functional teams on technical feasibility and implementation strategies
• Taking the technical lead on greenfield and legacy projects alike

Role Requirements

• 5+ years of commercial software development experience
• .NET / C# – including object-oriented design, greenfield dev, and working with legacy systems
• SQL – advanced querying, performance-focused database design, Azure SQL experience
• Experience in modern front-end tech – React, TypeScript, Redux
• A solid understanding of software architecture, design patterns, and technical debt management
• Strong unit and integration testing practices
• Proven ability to lead on technical solutions from idea through to implementation

Salary and Benefits

• £55,000 – £65,000 per annum
• Remote working with one day every 3 weeks in Huddersfield
• 25 days holidays + Bank Holidays
• Flexible working hours
• Range of staff incentives and social activities
• Excellent working environment and collaborative culture
Keywords: C#, .NET, SQL, React, Typescript, Redux, Azure, JavaScript, Docker, Kubernetes, CosmosDB, MongoDB

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.