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Data Engineer (Graduate)

Borehamwood
4 months ago
Applications closed

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£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

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