Lead Data Engineer

Salt
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist to bridge the gap between business needs and advanced analytical solutions

Senior/Lead Data Scientist

Lead Data Engineer

Salary: £65 000 - £74 000


We have partnered with an independent safety, standards and research body that focuses on improving the UK’s railways. Using machine learning they provide products and tools to improve safety, efficiency and sustainability.

They’re looking for a Lead Data Engineer to join, to technically lead a team of 6 Data Engineers on greenfield projects. You will be building tools, pipelines and transforming data in products that will support in key decision making processes.


Key Responsibilities:

  • Lead and manage data engineering projects, developing APIs, machine learning endpoints, and scalable data solutions.
  • Design, code, and document data applications, applying best practices in software engineering.
  • Coach data engineers, conduct code reviews, and uphold high coding standards across the team.
  • Influence data engineering tools, frameworks, and processes to enhance productivity and output quality.
  • Ensure technical solutions meet standards for accessibility, security, data quality, and ethical handling.


Location:London - Can work fully remote

Tech Stack:Python, FastAPI/Flask, Spark, Airflow, SQL, PostgreSQL, SQL Server, Azure Data Lakes, Kubernetes

Salary:Up to 74k (Plus benefits - 12% Bonus - 10% Pension Contribution and more)


If this sounds like something, you would be interested in please reach out to me on my email 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.

Education

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.