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

Apply Now

Senior Data Engineer

Cubiq Recruitment
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior DataOps Engineer

Senior Data Infrastructure & MLOps Engineer

Senior Data Scientist

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.