Analyst Programmer (m/w/d)

Kuehne + Nagel AS

Greater London

10 months ago

Applications closed

Related Jobs

View all jobs

Freelance Spatial AI and Machine Learning Consulta - Remote

Data Science and Innovation Manager

Data Scientist Degree Apprentice within Sales & Marketing Data Scientist Degree Apprentice within Sales & Marketing Apprentices Crewe, GB 6 Feb 2026

2026 Apprentice - Digital (Data Science) - Belfast

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

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.

Feb 2, 2026

Jobs

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.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.