Software Developer – C# / .NET / SQL / Blazor

Sutton Coldfield
10 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Developer - C#.Net, React, SQL - Kent / Sussex

Senior SQL DBA

Data Engineer

Java Developer with SQL & GIT

Data Engineer

Data Engineer

Software Developer – C# / .NET / SQL / Blazor

Location: Onsite – Sutton Coldfield

Salary: £40,000 - £45,000

Chapman Tate are proud to be working in partnership with a leading UK manufacturer who are embarking on a significant digital transformation journey — and they're looking for a passionate Software Developer to join them onsite at this exciting stage.

This is your opportunity to play a key role in migrating legacy applications to a modern C#/.NET platform, with the added bonus of working with Blazor to create dynamic and responsive user interfaces.

What you’ll be doing:

  • Developing and supporting internal software solutions using C#, .NET, and Blazor

  • Migrating existing legacy applications to the latest .NET technologies

  • Working with SQL Server to maintain and enhance data-driven applications

  • Collaborating with cross-functional teams to deliver efficient and scalable solutions

  • Participating in system architecture discussions and contributing to continuous improvement

    What we’re looking for:

  • Proven experience in C# and .NET development

  • Strong skills in SQL and working with relational databases

  • Experience with Blazor (or a keen interest and exposure to it)

  • Previous involvement in migrating legacy software is highly beneficial

  • A proactive, team-oriented mindset with strong problem-solving skills

    Why join?

  • Be a central part of a large-scale transformation project with real impact

  • Work onsite within a supportive and technically forward-thinking team

  • Enjoy genuine career progression opportunities as the tech department evolves

  • Contribute to the shaping of future internal systems from day one

    If you’re ready to take the next step in your development career with a company that values innovation, teamwork, and growth — we want to hear from you.

    Apply now through Chapman Tate – #WeAreCTA

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.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.