Senior Java Software Engineer

Apexon
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Staff Data Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Research

Senior Data Scientist

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

About the job


Senior Java Software Engineer (Data Focused)


Are you self-motivated with an innovative mind, a passion for technology, and a good understanding of object orientated development?


Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.


Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.


Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.


The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a Data Engineer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.


You’ll be responsible for:

  • Producing high quality, maintainable code
  • Supporting in the design and development of complex software solutions
  • Partnering effectively with client project teams
  • A natural ability to mentor junior developers


You’ll have:

  • Very good hands-on experience in Java and OOP.
  • Should be hands on using Spark and Big Data technologies.
  • Experience with Maven/Gradle and or Spring
  • Experienced in SQL (we use SyBase and single store DB’s primarily)
  • Has worked on Data Pipelines previously and is familiar with the basic concepts
  • Familiar with building REST APIs
  • Should be used to Git/JIRA
  • Experience with debugging, exception handling, logging best practices etc
  • Enterprise coding ability
  • Experience writing unit and integration tests


It would be great if you have experience in:

  • Kafka
  • Single store experience
  • Cryptography experience
  • Authorisation/authentication experience
  • Parquet files
  • DB session management, transaction handling etc
  • TDD or BDD experience


We’re committed to providing our people with a great environment to work in. You can expect ongoing skills-based development, career progression as well as health & well-being benefits and support. You’ll work within a friendly and supportive team, working on a variety of projects and the chance to obtain relevant certifications along the way!


We also offer:

  • Up to 10% bonus (based on company and personal performance).
  • An employer pension scheme
  • 25 days holiday + 8 bank holidays, with the option to carry forward or 'cash-in' 5 days each year
  • Access to YuLife wellness platform, subscription to Meditopia App, premium subscription to Fiit, life coaching & emotional wellbeing sessions, 24 / 7 virtual GP Access, Employee Assistance Programme
  • Life Insurance & Income protection
  • Enhanced Maternity Pay & Paternity Pay
  • Cycle to work scheme
  • Travel loan scheme
  • A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount
  • Free unlimited Udemy account for every employee to support their continuous learning and improvement
  • Support in obtaining relevant certifications

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.