Data Engineer - Gen AI - £140,000

City of London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer (18 Months FTC)

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Lead Data Engineer

Senior Data Engineer - (Python & SQL)

Lead Data Platform Engineer | Remote | £85k + 4 day week

Data Engineer - Award-Winning AI SaaS platform

We're partnered with a pioneering SaaS company that's transforming their industry through cutting-edge AI and data technology. With a multi-award-winning platform and a client base that includes global household names, this is a rare opportunity to join a high-growth tech business that blends startup agility with enterprise stability.

We're looking for a passionate Data Engineer who is experienced with AI tooling - including building Gen AI agents in-product - to join their growing Data Engineering ream.

Why You'll Love This Role:

Tech at Scale: Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning.
Award-Winning Product: Recognised globally for innovation in AI.
Remote-First Culture: Work from anywhere in the UK, with flexible hours and full autonomy, or the option to work hybrid from their London office if you prefer
Exceptional Benefits: From unlimited holiday and private healthcare to stock options and paid parental leave.What You'll Be Doing:

Build and maintain scalable data pipelines using Spark with Scala and Java, and support tooling in Python
Design low-latency APIs and asynchronous processes for high-volume data.
Collaborate with Data Science and Engineering teams to deploy ML models.
Use Gen AI tools to accelerate development and improve code quality.
Contribute to the development of Gen AI agents in-product.
Apply best practices in distributed computing, TDD, and system design.What We're Looking For:

Strong experience with Python, Spark, Scala, and Java in a commercial setting.
Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka).
Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra).
Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP).
Passion for solving complex problems and mentoring others.Package:

Salary from £(phone number removed) depending on experience
Remote-first with flexible working options
Unlimited annual leave
Private medical insurance
Stock options
Industry-leading parental leave (up to 6 months maternity, 2 months paternity)
Clear career development pathways

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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 Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. 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, confident, and ready to contribute from day one.

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

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.