Data Engineer

As a Data Engineer, you’ll work closely with stakeholders to develop, test, and maintain data products and solutions that align with their requirements. You’ll help develop a cloud-based data and analytics platform on Azure and help end-users integrate their workflows between this and other platforms, including AWS-based solutions. You’ll combine data from different sources, and you’ll build data pipelines to transform and organise raw data into formats that can be easily used for business intelligence as well as deep dive analysis and modelling.

Interviews will be face to face in the London office. We are open to discussing working patterns. We welcome all internal applicants to apply for our roles, regardless of your current working pattern or hours. We will aim to accommodate your request and match your current working arrangements. Don’t worry if you think you don’t have all the key skills, it might be worth taking a few minutes to apply as we’re good at spotting potential and offer a generous training budget.

Please download a full job description to find a full scope, deliverables, experience and personal attributes required for this role.

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• A discretionary bonus scheme
  
• Reward and recognition scheme
  
• Enhanced auto enrolled pension – your contributions start at the default 5% while ours are higher at 8%. If you up your contributions to 6% we raise ours to 9%. If you contribute 7% or more we’ll contribute 10%.
  
• Income protection scheme – is an insurance benefit that provides you with income if you cannot work due to illness or incapacity.
  

Everyone's personal situation is different. To make the most out of hybrid working, we've introduced different ways of working, which include (subject to role requirements):

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• hybrid of office (Canary Wharf, London) and home working (there will be an expectation to attend the office, once - twice a week, or more, as required)
  
• reduce or vary working hours
  
• reduce or vary the days worked
  
• work compressed hours
  
• job share
  

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• Not Applicable
  

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• Full-time
  

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• Finance
  
• Industries