Analyst Programmer (m/w/d)

Kuehne + Nagel AS
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Career Accelerator (Bristol)

Data Science Trainee

Data Science Trainee

Business Analyst - Artificial Intelligence

Business Analyst - Artificial Intelligence

Data Scientist/Analyst

Are you looking for a new challenge? You will have the chance to explore state-of-the-art technologies in fintech. It is also an excellent opportunity to work with different people around the globe.

Your Role

In the role of Analyst Programmer, you will design and develop components of the financial systems Acon which is running over 100 countries worldwide. You will also need to ensure the quality and performance of the deliverable products are up to a high standard.

Your Responsibilities

  • Write quality software program code in Rich Client, Web, and Mobile platforms with knowledge in Java and other technologies.
  • Analyze and resolve technical issues caused by program, system, or database level.
  • Conduct testing to ensure a high quality of deliverables.
  • Provide timely program fixes for urgent issues happened in production in order to ensure seamless financial IT service.
  • Arrange software package for global deployment.
  • Conduct peer code review to ensure software quality.
  • Create and maintain technical documentation and diagram of system design, system architecture, and interfaces/integrations.
  • Conduct Proof of Concept when introducing new software technologies.

Your Skills and Experiences

  • Bachelor's/ master’s degree in computer science, engineering, IT, or equivalent field.
  • Experience in working with a global/diverse team.
  • Must have hands-on experience in Java and SQL.
  • Experience in Oracle, Hibernate, Spring, MongoDB, Quarkus, or React will be an advantage but not a must.
  • Preferably also know Mobile Programming, Cloud computing, AI and Machine Learning, Accounting and Financial knowledge.
  • Must be a team player with good communication and interpersonal skills.
  • Fluent in English.

Good Reasons to Join

Your work will have a direct influence on the future of logistics and IT. Your colleagues are experts who shape the IT industry in the UK and worldwide. We want you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne + Nagel is offering you a custom-made career – through individual planning and supervisors who support and advise you in every way. You get supported by a lot of work-life balance offerings and supplementary health insurance.

#J-18808-Ljbffr

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.