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- Tasks: Join us as a Data Engineer to manage and optimise our data sources for impactful decision-making.
- Company: Safestore is the UK's largest self-storage group, recognised for valuing and engaging its employees.
- Benefits: Enjoy hybrid working, competitive salary, and exceptional career development opportunities.
- Why this job: Be part of a dynamic team, influence business performance, and contribute to a culture of respect and innovation.
- Qualifications: A degree in a relevant field and knowledge of SQL, Python, and data management are essential.
- Other info: This role offers a chance to work closely with key stakeholders and emerging big data technologies.
£30,000 - £35,000 Negotiable DoE
Hybrid working - North London Head Office (Borehamwood) & Home
Job Reference J12940
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 a 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.
- Demonstratable knowledge of SQL, Python or similar coding language
- Demonstratable 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 to our Recruitment Partner, Datatech Analytics.
Data Engineer (Graduate) employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Graduate)
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work at Safestore or similar companies. Attend industry meetups or webinars to make connections and learn more about the company culture and expectations.
✨Tip Number 3
Prepare to discuss how you can contribute to maintaining a 'single source of truth' for data. Think of examples from your studies or previous experiences where you successfully managed or improved data quality.
✨Tip Number 4
Research Safestore's business model and how data plays a role in their operations. Being able to articulate how your skills can directly impact their commercial performance will set you apart during interviews.
We think you need these skills to ace Data Engineer (Graduate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Engineer role. Emphasise your knowledge of SQL, Python, and any experience with data warehousing or ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background makes you a great fit for Safestore. Mention specific projects or experiences that demonstrate your ability to manage data effectively.
Showcase Relevant Projects: If you have worked on any projects involving data analysis, ETL processes, or coding in Python, be sure to include these in your application. Provide details about your role and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Datatech
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of SQL, Python, and any relevant data warehousing concepts during the interview. Be prepared to discuss specific projects or experiences where you applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company Culture
Safestore values engaged colleagues who feel valued and respected. Research their company culture and be ready to discuss how your personal values align with theirs. This will show that you're not just a fit for the role, but also for the team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data management and ETL processes. Think of examples where you've successfully tackled challenges in previous projects, and be ready to explain your thought process.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company's data strategy. This shows your genuine interest in the position and helps you understand how you can contribute to the team's success. Consider asking about the types of data sources you'll be working with or the tools they use for data analysis.
