National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Reference Data Java Developer

Tower, Greater London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data/Consulting Engineer

Principal Data Engineer for Data Asset & Provisioning Technology

Data Governance

Data Engineer

Data Engineer

Join us as a Reference Data Java Developer at Barclays, where you would participate on the development of a new strategic Reference Data System. You would be involved in all stages of software development, focusing on gathering business requirements, features implementation, data analysis as well as troubleshooting root-cause analysis of production support issues.   

         

To be successful as a Reference Data Java Developer, you should have experience with:

•            Implementing solutions with Goldensource Technology or comparable – EDM (Enterprise Data Management)/MDM(Master Data Management) solutions like Alveo (Asset Control), Markit EDM, Barra, Fame etc.

•            Building Instrument and Pricing Reference Data Platforms in Large Financial Services business

•            Java programming language AND/OR Python and high proficiency in database technologies like PostgreSQL/Oracle

Some other highly valued skills may include:

•            Understanding of Big Data and Machine learning concepts

•            Certified AWS Professional or Google Cloud Professional

•            Ability to data analysis and create business requirements as needed

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role will be based in our London office.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.

Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.

Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.

Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.