Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

Cubiq Recruitment
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Data Science Team)

Senior Data Engineer - Machine Learning | Fraud & Abuse

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

Lead Data Engineer (Data Science Team)

Senior Data Scientist

Job Title: Senior Data Engineer – AI for Humanity

Location: London or Oxford

Salary: Up to £240,000 base + extras


About Us

We are one of Europe’s most well-funded research centres, advancing AI initiatives that drive global change across sustainability, climate, decarbonisation, food security, agritech, healthcare, robotics, and ethical AI.


Our mission is to develop AI-driven solutions that benefit humanity while addressing some of the world’s most pressing challenges. With a team that includes hires from global leaders like Google DeepMind, we work at the forefront of innovation, ethics, and social responsibility.


About the Role

The Lead Data Engineer will lead the charge in building the data platforms and infrastructure critical to enabling cutting-edge AI research. In this cross-functional role, you will collaborate with data scientists, engineers, and software teams to design and implement robust data systems that empower researchers to solve real-world problems.


This is an exciting opportunity to work on AI-driven platforms that tackle issues such as climate change, food insecurity, and ethical decision-making in AI, all while contributing to a brighter, more sustainable future.


Key Responsibilities

- Data Infrastructure Development: Build and maintain scalable, secure data pipelines and platforms tailored to AI research and large-scale computation.

- Collaboration Across Teams: Partner with data science, software engineering, and research teams to ensure seamless data integration and platform functionality.

- Innovation in AI Platforms: Lead the development of tools and systems that support AI-driven initiatives in sustainability, healthcare, robotics, and beyond.

- Optimisation: Ensure systems are optimised for performance, cost, and scalability to meet the demands of world-class research projects.

- Leadership: Mentor team members, foster collaboration, and drive best practices in data engineering.


Key Requirements

- Extensive experience in data engineering, including building and optimising data pipelines and distributed data systems.

- Strong expertise in cloud platforms (AWS, GCP, or Azure) and modern data technologies (Spark, Kafka, Hadoop, or similar).

- Proficiency in programming languages such as Python, Scala, or Java.

- Experience working on AI/ML-driven platforms, with knowledge of how data systems integrate with machine learning pipelines.

- Proven ability to collaborate cross-functionally in high-performing teams.

- A passion for applying AI and data solutions to meaningful, human-centric problems.


What We Offer

- Purpose-Driven Work: Contribute to transformative AI initiatives that tackle some of humanity’s biggest challenges.

- Top-Tier Team: Collaborate with brilliant minds, including hires from Google DeepMind and other industry leaders.

- Flexibility: Hybrid working model with a blend of office and remote work.

- Impactful Mission: Work at the intersection of technology and humanity, making a tangible difference in fields like healthcare, sustainability, and ethical AI.

- Unmatched Compensation: We can match or exceed any UK salary level to attract the brightest minds.


Who Should Apply?

We are seeking experienced Senior/Lead Individual Contributors (ICs) who have excelled in building data platforms and systems for AI-driven solutions. If you have a track record of delivering innovative data engineering solutions and want to work on projects with a profound impact on humanity, we want to hear from you.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.