System Analyst

Kuehne+Nagel

Milton Keynes

4 months ago

Applications closed

Related Jobs

View all jobs

Interim Commissions Analyst

Graduate Business Systems Analyst

Data Science Analyst

Senior Project Engineer

CAE Developer - Virtual Build

System Analyst

Milton Keynes, Buckinghamshire, United Kingdom | Finance & Controlling | Vollzeit | SGI2134355

Are you looking for a new challenge and also, understand financial systems? As the subject matter expert of the technical design and application logic of the global complex financial system Acon* which is running over 100 countries, you propose a wide range of sophisticated IT solutions to meet Corporate Finance needs from a holistic point of view.

Your Role Acon is a massive enterprise-scale in-house developed global financial system in Kuehne Nagel which contains extensively complicated logics and state-of-the-art technologies and as a system analyst, you ensure the adherence to software quality standards and development practices are applied to the team. Your Responsibilities

To deeply analyze the complex requirements of finance departments of different regions globally and provide expert advice to the team through meetings and conference calls.
To monitor the quality software standard of the team and provide coaching to other team members if necessary.
To develop complex software functions by writing quality software code and provide application, technical, impact analysis for changes to system design support in Rich Client, Web, Mobile platform.
To develop and maintain integration services with other functions, modules and systems and to deeply understand the relationships between them.
To be able to play the role of mentor/guide to rest of the developers.
Point of contact for Corporate Finance IT team.

Your Skills and Experiences

Bachelor's/ Masters degree in computer science, engineering, IT or equivalent field.
Experience in working with a global/Diverse team.
Must have hands-on experience in Java, SQL, Oracle, Hibernate, Spring, MongoDB, Quarkus, React, Angular, etc.
Preferably also know Mobile Programming, Cloud computing, AI and Machine Learning, Accounting and Financial Knowledge, etc.
Must be a team player with good communication and interpersonal skills.
Fluent in English.

#LI-DM1

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 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. Personally, you get supported by a lot of work-life-balance offerings and supplementary health insurance.

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

May 6, 2025

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

May 5, 2025

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Apr 27, 2025

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.