National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Software Engineer

Teversham
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Software Developer

Senior Developer

Data Migration Lead

Data and Digital Operations Lead

Senior Full Stack Developer

Data Analyst

Lead Software Engineer
Cambridge - Hybrid
Up to £120,000

I am currently recruiting for a fully funded UK-based financial technology start-up. They are using cloud and blockchain technology to simplify trade through a secure, compliant and scalable platform that reduces cost and friction and increases operational efficiency and transparency that mitigates overall risk, focusing on derivatives trading.

Don’t worry if you don’t know much about Blockchain and Derivatives, most of the team didn’t have this domain knowledge when they first joined (as you go through the interview process this will be discussed).

We are looking for someone to join the team as a CDM (Common Domain Model) Engineer at a Principal/ Lead level with the necessary “roll-your-sleeves up” attitude required for a fast-moving start up. You will own the heart of the system and be a hands-on tech leader of the CDM team.

You may not have had any experience with CDM previously, and that is completely fine, please see what you will need below:
• Strong commercial experience with Java and Kotlin, ideally in fintech, capital markets, or data-intensive environments.
• Deep understanding of domain-driven design (DDD) and experience building production systems with structured domain models.
• Hands-on experience with event-driven architectures and asynchronous processing using Kafka, or similar.
• Experience designing or working with DSLs, especially in financial or rule-based systems.
• Excellent problem-solving, documentation, and communication skills.
• Ability to thrive in a highly collaborative, fast-paced environment where clarity, ownership, and agility are valued.

Majority of the engineering team is currently based in their Cambridge Science Park office, operating under a hybrid working model, going into the office 2-3 days a week, with occasional visits to the London office. They are offering a salary of up to £120,000 (depending on experience) plus benefits and share options.

If this sounds like the sort of role that would be of interest, please get in touch with me by:
• Sending an email to (url removed)
• Messaging me on LinkedIn - Sabrina Velosa | LinkedIn
We can then agree on a time to discuss further and if you have a CV at hand, please send

National AI Awards 2025

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.

Jobs

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.

Jobs

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.