Lead Software Engineer

Teversham
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Principle SQL Developer

Lead Data Engineer

Lead Data Engineer (Azure)

Lead Data Engineer / Architect – Databricks Active - SC Cleared

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

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.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.