Software Engineer

Sheffield
3 weeks ago
Create job alert

Role: Software Engineer

Location: Hybrid, one day a week in Sheffield

Salary: Up to £50k

Are you the type of developer who loves having your autonomy and ownership over projects? Are you the type of developer who enjoys working in a collaborative environment with people you can learn from? Are you the type of developer who loves working on cutting-edge technology?

If you like working in excitable, fast-moving start-ups where the tech and culture are amazing. There is a clear vison from the business and the career path is open for you.

Then there are roles with companies like the one we are recruiting for. An established, profitable young business who have struck a goldmine of an idea, and already has customers queuing up to sign on the dotted line.

They have developed a data-led product that is going to revolutionise their sector, and the orders are coming in thick and fast from major global players who they’ve worked with for years.

You’ll be joining a new data science team & software development team that is likely to grow further over the next 12 months.

As a Software Engineer, you will be joining a dynamic development team to contribute to the evolution of WebApp and Data Platforms. This role is designed for a passionate individual eager to develop innovative features, resolve technical issues, and engage in the continuous improvement of software engineering processes. Your role will encompass the full software development lifecycle, including coding, testing, deploying, and monitoring, with a focus on delivering high-quality software solutions.

Things you’ll need to bring to the table:

  • 3 years+ of experience in software development

  • Proficiency in at least one: Python, Java, Springboot with a testing framework

  • Strong knowledge of web development technologies (e.g., HTML, CSS, Vue.js, Pinia)

  • Experience with Cloud Platform, preferably Azure

  • Good understanding of software architecture and design principles

  • Excellent problem-solving and debugging skills

  • Ability to work both independently and collaboratively in a team

  • Strong communication and interpersonal skills

  • Experience with Agile development methodologies

    The role would be based mainly from home with travel to Sheffield once a week, so ideally you will drive.

    If this sounds like something worth discussing further, apply or get in touch with us at Rebel Recruiters!

    The company are likely to grow further, so if you are an experienced data scientist who would prefer a more senior role, please apply anyway, stating your salary expectations.

    All UK-based applicants will be given a guaranteed reply.

    We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Embedded Software Engineer

Python Software engineer | 9 Months | Outside IR35 | Hybrid Bath | Data Science

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.