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

Apply Now

Data Engineer - London

London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

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

AI Engineer (data science & software)

Data Engineer - Join One of the UK's Most Exciting Tech Start-ups

Location: London (Hybrid)

Salary: £40,000-£65,000 + Equity

Our client, one of the UK's fastest-growing and most exciting tech start-ups, is looking for a talented Data Engineer to help shape the future of its data strategy. Named one of LinkedIn's Top 10 UK Start-ups and now operating Nation-wide, this is a unique opportunity to join a high-growth business that's already making a meaningful impact and has lots more to come!

The Role:

As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions.

Key Responsibilities:

Build and maintain scalable data pipelines to support both internal dashboards and customer-facing products
Design and implement efficient data architecture for optimal storage, retrieval, and processing
Develop ETL processes to ingest, transform, and load data from various sources, particularly APIs
Collaborate with data scientists and software engineers to align data strategies with app development
Work with internal stakeholders to shape and meet business data needs
Maintain documentation, monitor pipeline performance, and resolve issues as they ariseAbout You

Strong problem-solving skills, demonstrated through academic or professional experience
In-depth understanding of data architecture, data-modelling, and best practices in data engineering
Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous
Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration
Familiarity with data versioning, quality management, and CI/CD pipelines
Experience with cloud platforms (e.g., AWS or Azure) and data tools such as Terraform or SageMaker is a plus
Ideally, some hands-on experience building and maintaining data pipelines in a production environmentWhat's on Offer:

Competitive salary: £40,000-£65,000, dependent on skills and experience
Private medical insurance
Equity in a well-funded, high-growth start-up

Office gym membership
Dog-friendly office located in the heart of Camden
A supportive, social, and dynamic team cultureThis is an exceptional opportunity for a data engineer who wants to make an impact at scale, grow in a supportive environment, and be part of an ambitious team at the forefront of UK tech innovation.

If you're ready for your next challenge, we'd love to hear from you.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.