Lead Data Engineer

Norwich
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Senior Data Engineering Lead: Lakehouse & DataOps

Lead Data Scientist: AI for Merchandising & Warehouse Ops

Lead Data Scientist (7203)

Lead Data Scientist

Lead Data Scientist (7203)

Lead Data Developer
Norwich - Hybrid

Lead Data Engineer required to play an integral role in this businesses data-driven journey for a large and exciting strategic project transforming raw data into actionable insights. Some of your duties will be to lead and implement ongoing management data strategy, analyse raw data to unearth valuable trends and patterns along with design, build and maintain robust data systems.

Skills Required:

Proven track record as a Lead Data Engineer ideally within a data-driven organization.
Strong technical expertise in data models, data mining, and segmentation techniques.
Strong background in designing, developing, and maintaining data lakes and warehouses.
Proficiency in programming languages such as R, Python, SQL, (DAX would be desirable)
Strong knowledge of cloud-based relational and non-relational data structures.
Hands-on experience with SQL database design, coding, optimization, and maintenance.
Proven working experience in one or more of the following areas: big data, business analytics, data analytics, data science.
Exceptional numerical and analytical skills with a keen attention to detail.
Worked in a collaborative Agile environment.
Line management to a small data team.
Bachelor's degree in Computer Science, Information Technology, or a related field

What the business can offer you….(to name but a few!)

Hybrid/flexible working pattern
Pension
25 days holiday (+BH's) + birthday off!
Medical Insurance/Health care
Ongoing professional development
If you wish to work with a business that offers passion for progress and inspires then please send a copy of your CV to the link.

Full job description on successful application

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.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

🍪 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.