Data Engineer (Graduate)

Borehamwood
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - AI Analytics and EdTech Developments

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Engineer (Data Science)

Data Engineer - Data Science & ML for Marketing Analytics

Data Engineer (Data Science)

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

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.

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.

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.

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.