Junior Software Engineer

Wolverhampton
1 day ago
Create job alert

Company
This is a fantastic opportunity with a global company that continues to grow, both in size and revenue. They consider themselves to be agile and highly innovative, embracing the technology associated within the industry. The business has a strong family culture which provides a positive working environment where employees feel valued and trusted.
If you are looking for an established career with a global leader in a period of real exciting growth, a business who are big advocates of organic growth and development of their staff, then this will be ideal for you!
Junior Software Engineer Salary and Excellent Benefits

  • Excellent Salary
  • Hybrid Working
  • Excellent company pension
  • 33 days holiday (including bank holidays)
  • Company bonus
  • Dental and health benefits
  • Life insurance
  • Annual group shares
  • Fantastic work environment
  • Your chance to work for a global company who going through exponential growth
    Commutable From: Birmingham, Walsall, Dudley, Kidderminster, Wolverhampton, Telford
    Role Overview
    This growing business requires a Junior Software Engineer to join their growing software team.
    The primary focus of this role will be supporting the existing Software Engineer by taking on the maintenance and improvement of their existing suite of tools that are used both internally within the business, and by their customers and channel partners. These tools interface to the various eCommerce platforms in use and enable the configuration and selection of products prior to sale and manufacture.
    Junior Software Engineer Candidate Requirements and Experience
    Requirements
  • Degree in Computer Science, Software Engineering, or related discipline
  • Experience and knowledge of C# and Winforms
  • Experience of HTML and Web development
    Desirable Requirements
  • Knowledge of SQL databases
  • Awareness of Scrum, Azure DevOps
  • Experience of version control (Git / Team Foundation Version Control)
    Junior Software Engineer Key Responsibilities
  • The Junior Software Engineer will maintain existing software-based customer tools.
  • Develop, test, release enhancements to existing customer tools.
  • Whilst the role will primarily focus on customer tools it will include opportunities to be involved with other projects.
  • Assisting the technical support team with customer queries.
    Please Note: Candidates must have the right to live and work in the UK.
    Our aim is to help you secure the best possible future for yourself & this is a totally FREE service to all our Candidates.
    If you believe that your skills and experience match what we are looking for please call me or APPLY and I will be in touch.
    Should you want to learn more about any of our MANUFACTURING & PRODUCTION vacancies, or should you just want to discuss your particular needs, then please do not hesitate to contact me to have an informal, confidential chat.
    Probe Technical Recruitment, providing Manufacturing & Production Recruitment Support since 1994

Related Jobs

View all jobs

Junior Software Engineer

Junior solutions architects

Lead Software Engineer

Mid Software Engineer (PHP/Go)

Senior Software Engineer and Team Leader

Senior .NET Developer

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 Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

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

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

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

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.