Junior Backend Web Developer

Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Governance Analyst | £35,000 + Bonus & 10% Pension

Junior Data Engineer

JUNIOR DATA GOVERNANCE ANALYST

Junior Data Engineer

Data Engineer

Data Analyst Training Course (Excel, SQL & Power BI)

Varied web tool development in supportive environment
This successful and growing company are looking for bright web developers to work on a suite of web tools written with a variety of languages and frameworks. These tools are integral to the value of the products and services that have made this company such a success. These are very much a set of tools which are built with web technologies and languages rather than regular web development.
This company is looking for bright junior engineers who have demonstrable skills in a set of web programming languages and frameworks such as JavaScript, Python, PHP, node.js, Django, and Laravel. You will also need to know how to efficiently query large SQL databases, secure web applications, and use container tools such as Docker.
You will be joining a team of talented developers and a work environment that prioritises career development. With offices around the globe, you will have opportunities to travel for project work and training. Longer term secondments are also possible.
Requirements:

  • 1st or 2:1 in Computer Science or similar from a top university
  • Good knowledge of web backend languages and technologies
  • Solid understanding of databases and SQL, especially large databases
  • Willingness to learn new languages and frameworks
    For historic reasons, some of the code you will be working on is written in PHP, and so any specific knowledge of PHP would be very beneficial.
    Another top job from ECM, the high-tech recruitment experts.
    Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.
    Please apply (quoting ref: CV27335) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

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.