Senior Full Stack PHP Developer

Exeter
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer/ PowerBI

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineering Consultant

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.

Jobs Careers

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

Jobs

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Education Jobs

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

🍪 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.