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Lead Data Engineer - Azure & Databricks

Nigel Frank International
Posted 13 hours ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

Retirement Plan

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • An industry-leading research, data & insights organization is seeking a Lead Data Engineer for a hybrid role in London, requiring 2 days per week in the Central London office and 3 days working from home.
  • The position involves managing a team of skilled Data Engineers while also being technically hands-on, focusing on innovative data-driven solutions to enhance business outcomes.
  • Candidates should possess excellent SQL and Python scripting skills, experience with Azure technologies, and a strong background in designing data warehouses and lakes.
  • The role offers a competitive salary of up to £95,000 depending on experience, along with benefits such as 25 days annual leave and private healthcare.
  • Applicants must have at least several years of experience in data engineering and management, and the position is only open to UK residents with the right to work.

An industry-leading research, data & insights organisation are looking for a Lead Data Engineer to join their team in London - this is a hybrid role, with 2 days per week in their Central London office to collaborate with the team, and 3 days working from home.

This organisation have invested a lot into their data function in recent years, and are utilising the latest cutting-edge Azure technologies. As a Lead Data Engineer, you will manage a team of highly-skilled Data Engineers, to deliver innovative data-driven solutions to improve business outcomes.

You'll spend around half your time being technically hands-on, and around half your time on your management responsibilities. This will include fostering best-practice, and contributing to the organisation's wider data strategy and roadmap.

This is a brilliant opportunity for an experienced Data Engineer with Management experience, who is keen to progress their career with a company who will encourage you to provide thought leadership, and to innovate and experiment with new technologies.

Requirements

  • Excellent SQL and Python scripting skills
  • Experience designing and developing data warehouses and data lakes / lakehouses
  • Experience designing solutions involving databricks and PySpark
  • Experience with Azure technologies including Data Lake, Data Factory, and Synapse
  • Experience with data visualisation tools such as Power BI
  • Knowledge of Agile methodology
  • Excellent communication and problem-solving skills

Benefits

  • Salary up to £95,000 depending on experience
  • 25 days annual leave plus additional 3 to be taken over Christmas - New Year
  • Private healthcare
  • Pension scheme
  • Annual discretionary bonus

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.