Senior Full Stack PHP Developer

Exeter
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Java Developer with SQL & GIT

Lead Data Engineer

Senior Data Engineer - Azure & Snowflake

SAS Data Engineer

The Opportunity:

My client based in the sustainability sector are currently on the lookout for a Senior Full Stack PHP Developer on a permanent basis.

In this role you will have a hands-on role at all stages of the software lifecycle, giving input on planning and solution design, alongside coding, testing and maintaining web applications and APIs.

You will work within a team of agile developers to build and support systems to a high standard of security, scalability and performance.

The successful candidate will have demonstrable experience working at a senior level across the full stack within a web development team, with keen attention to detail and strong problem-solving skills.

Please note this role will not be fully remote and there is no flexibility on the two days a week in Exeter.

Skills and Experience:

  • Extensive experience with web application and API development at a senior level

  • Must be able to mentor more junior members of the team in the absence of the Technical Lead

  • Expert understanding of microservice architecture

  • Expert knowledge of PHP Symfony framework is preferred

  • Proficient in JavaScript, including modern frameworks in this instance React is preferred

  • Proficient in SQL and experience with MySQL

  • Experience with cloud platforms (AWS preferred)

  • Familiarity with design-led and mobile-led approaches

  • An understanding of good UI/UX design

  • A good working knowledge of Docker

  • Experience delivering SaaS solutions

  • Experience implementing CI/CD pipelines

  • Design, develop, test and maintain complex PHP web applications and APIs to deliver secure, scalable and performant solutions

  • Design and develop front end code with a focus on security, accessibility and delivering a great user experience

  • Provide input on key technology, architectural and development decisions

    Please contact John here at ISR to learn more about our exciting client based in Devon and their ongoing growth plans??

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 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.

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.

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.