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

Nominate & Attend

Data Engineer (Graduate)

Borehamwood
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Experienced Ai / Machine Learning Engineer

Junior/Mid/Senior Data Scientist - Hybrid, London

Artificial Intelligence Engineer - Agentic bioimage data platform

Machine Learning Engineer

Data Science Manager

Data Engineer (Graduate)
£30,000 - £35,000 Negotiable DoE
Hybrid working - North London Head Office (Borehamwood) & Home
Job Reference J12940

Candidates MUST be able to drive and have access to their own vehicle to attend the office 3x a week.

The client is not able to consider a visa of any type unfortunately.

Proud to employ great people who are passionate about what we do

Safestore is the UK's largest self-storage group, and part of the FTSE 250. We believe that engaged colleagues, who feel valued by our business, are the foundation of our customer-focused culture. We know our people as individuals, and show respect for each other, enabling everyone to have a voice so that they can bring their full, unique selves to work. We are exceptionally proud that, in 2021, we were awarded the prestigious 'Investors in People' Platinum accreditation, placing us in the top 2% of accredited organisations in the UK and have maintained this accreditation ever since.

Unrivalled opportunity for career development and to positively influence the business

We are currently recruiting for a Data Engineer for a newly created role in the group. The key objective of the role is to take control of the various data sources and databases and ensure the correct data is available to key stakeholders in the most effective way. The role will report to the Commercial Director and will be key part of the commercial team working closely with our Data Scientist, Pricing and IT teams.
Key Accountabilities
• Maintaining single source of truth so there is one set of data that can be used by varying reporting audiences to achieve their business request/need
• Develop and maintain our data sets to support reporting and analysis.
• Assist in developing ETL process to import new data sets, either via API or internal sources
• Proactively engage with key business stakeholders on a regular basis to ensure the data assets under management are maintained in-line with business needs
• Engage with 3rd parties in the sourcing of additional data
• Maintain documentation related to the datasets to ensure auditing and data dictionaries are accurate
• Perform data quality tests and reviews of existing data and improve structure and content where needed
• Assess and recommend available and emerging big data technologies.
• Develop an excellent understanding of relevant internal and external data sources.

Experience & skills required
• Demonstrable knowledge of SQL, Python or similar coding language
• Demonstrable knowledge of Data Warehousing, Data lakes and ETL
• Exposure of merging data sets from different solutions to form one unique data set
• A degree in a relevant field at least at bachelor's level
• Ability to work accurately and to tight timescales
• Self-starter who wants the opportunity to make a real commercial difference to the business performance using data
• Ability to solve problems here and now but also ability to think strategically for the future

If this great opportunity interests you, please make an application

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.