Full Stack Java Developer

IPS Group
Edinburgh
7 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Developer - Defence and Government

Senior Backend Engineer

Application Developer-2

Data Scientist

Full Stack Software Engineer - Java

Data Engineer

Full Stack Developer – Java

Edinburgh based 4x a week onsite

You will be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products.

Key Responsibilities:

Full stack software development and management of the development life Innovative, understanding, and problem-solving mindset of complex

Development Value:

Experience with full stack software development (front and backend with DB/APIs). Direct stakeholder engagement and full software development life cycle Opportunity to research, develop and implement prototypes/solutions using new Personal and technical growth is fostered under the mentorship of a group of vastly experienced, technically focused colleagues. Operating in an agile and multi-tasking

Soft Skills:

Passionate about technologies and continually learn new Strong ability to prioritise, manage and perform multiple Curious, attentive to detail and seeks Able to work individually and within a Excellent written and verbal communication

Technical Skills:

Proficient working with source code repositories (Azure and/or GIT). Excellent understanding of object orientated programming and Experience writing complex SQL queries (Sybase advantageous). Proficient with UNIX/LINUX operating systems/commands. Understanding of API Services (SOAP, REST, Graph).

Programming Language:

Proficient in Java EE with OpenJDKwith Spring 0+ Frameworkwith Spring Boot/Wildfly web servers (or similar)with Angular 14+

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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.