Software Engineer

Finchampstead
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - .NET Core, Blazor, SQL Server

Data Engineer

Data Engineer

Data Engineer

SAS Data Engineer

Data Engineer

Software Engineer required for a pharmaceutical systems company based in Wokingham. The ideal candidate will be based locally and have experience in a similar role. The successful candidate will be in a team of software professionals responsible for the requirements, design, construction, integration, testing verification and maintenance of software products.

Software Engineer Job Overview

Development of Windows software in Visual Studio C++ and C#
Utilise software engineering tools such as source code control, build processes and debuggers in the software development process.
Collaborate and add value through participation in peer code and design reviews, providing comments and suggestions.
Investigate current applications.
Maintain systems by monitoring and correcting software defects.
Creation of software operating manuals.
Creation of software qualification procedures

Software Engineer Job Requirements

Industry experience in a similar role.
Degree in Computer Science or equivalent knowledge and experience.
Visual Studio, C++, C#, SQL, Visual Basic, ActiveX, InstallShield
Web Experience - HTML, XML, SOAP, JSON
Database Experience - SQL Server, ODBC, SQLite
Good working knowledge of MS Word, MS Excel, MS Access, and MS PowerPoint.
Experience of working in a customer-focused role, delivering outstanding service.

Software Engineer Salary & Benefits

Salary- Up to £55,000 (dependent on skillset & experience)
Profit related, tax-free bonus after 1 years' service
Early finish on a Friday
23 days annual leave, 8 bank holidays per annum and a day off for your birthday.
Employee Assistance Programme.
Death in Service BenefitBennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries.

We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for

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.

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.

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.

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.