Lead Java Developer

London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Database Specialist | SQL & C

Lead Data Engineer (AWS & Snowflake)

Lead Java Developer
London
£90,000 - £95,000

An excellent opportunity awaits an experienced Java Developer with strong cloud infrastructure and architecture skills to join an exciting SaaS business. This role offers technical growth, variety, and strong development opportunities.

The company is a profitable, maturing technology business delivering software and AI-driven solutions for industrial sectors.

In this role, you'll join an established development team in a hands-on position, leading and owning the technical roadmap and efforts to improve and redesign infrastructure. You'll focus on boosting performance, driving efficiency, managing technical costs and debt, and helping scale and improve the reliability of the product's system. As a team lead, you'll mentor and provide technical guidance while working closely with the Software Engineering Manager. This role is fully office-based in London.

The ideal candidate is a hands-on Software Engineer with strong experience in Java and Python, confident working with AWS cloud infrastructure including containerisation (Docker/Kubernetes), architecture, and scaling systems. They will have solid skills in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) and be looking to lead a team in an office-based environment in London.

This is a fantastic opportunity for an experienced developer to join a growing business with exciting projects, technical ownership, and great growth potential.

The Role:
*Lead and own the technical roadmap to improve and scale infrastructure
*Focus on performance, efficiency, cost management, and reliability
*Mentor and guide the development team while working closely with management
*Fully office-based role in London

The Person:
*Experienced Hands-on Software Developer with strong Java and Python experience
*Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes)
*Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch)
*Looking to lead a team in an office-based role in London.

Reference Number: BBBH (phone number removed)

To apply for this role or to be considered for further roles, please click "Apply Now" or contact Marcel Cerek at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

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 Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

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

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.