National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer – Consultancy – Eligible for SC – AWS - London

London
5 months ago
Applications closed

Related Jobs

View all jobs

Ml (Machine Learning) Engineer (London)

Senior Data Scientist

Senior Data Scientist

Enterprise Data Architect

Enterprise Data Architect

Lead Consultant - Data Science

Lead Data Engineer – Consultancy – Eligible for SC Clearance – AWS - London

I’m looking for an experienced Lead Data Engineer to join a successful, multinational Consultancy in their London office working on high-profile client projects.

As a Lead Data Engineer you will analyzing complex client data landscapes and transforming them into robust, scalable solutions. As the ideal candidate you will excel at designing and implementing end-to-end data architecture, including ETL processes, efficient data pipelines, optimized storage solutions, and sophisticated data cleansing protocols. You will lead and mentor other Data Engineers on projects and champion best practices in data architecture.

To be considered you will be able to demonstrate skills and experience in many of the following:

  • Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL

  • AWS (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB)

  • Experience with data processing across structured and unstructured sources

  • Strong scripting abilities and API integration skills

    Desirable but not essential:

  • Experience with data mining and machine learning

  • Natural language processing expertise

  • Multi-cloud platform experience

    Salary: £80,000 - £100,000 + 25 days holiday (option to buy 5 more) + pension + Performance Bonus + share options

    Location: Hybrid working – 2 days a week in the London office or on Client site

    SC Clearance Eligibility – you must be eligible for SC Security Clearance (or higher) – this means at least 5 years residence in the UK and in that time you’ve not been out the country for more than 29 days consecutively and no more than 6 months out the country per year
National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.