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Data Engineering Manager

VIQU Limited
Posted 21 hours ago, valid for 10 days
Location

Leeds, West Yorkshire LS14 1DZ

Salary

£65,000 - £70,000 per annum

Contract type

Full Time

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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  • The Data Engineering Manager role offers a salary of £65,000-£70,000 per annum and is located in Leeds, requiring one day on-site work per week.
  • The position involves managing a team of eight engineers to support an ongoing digital transformation within a leading supply chain organization.
  • Candidates should have over 6 years of experience in a hands-on data engineering role, including at least one year in a managerial capacity focused on mentoring and coaching.
  • Key responsibilities include developing the Databricks platform, implementing automated CI/CD pipelines, and establishing data governance frameworks.
  • The ideal candidate should possess strong skills in Python, SQL, and experience with large-scale data pipeline optimization.

Role: Data Engineering Manager

Salary: £65,000- £70,000 per annum

Location: Leeds (One day on site).

VIQU have partnered with a leading supply chain organisation who are looking to expand their data teams. The Data Engineering Manager will manage a team of eight to help with an on-going digital transformation. The ideal candidate will come from a technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. 

Job duties of the Data Engineering Manager: 

  • Manage a team of eight engineers, helping to mentor and coach the team.
  • Manage  the adoption of automated CI/CD pipelines.
  • Implement a new delivery roadmap.
  • Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience).
  • Cost optimisation.
  • Establish data governance frameworks for secure handling of delivery information.

Requirements of the Data Engineering Manager:

  • 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams.
  • Deep knowledge of Databricks platform.
  • Hands on Python development experience.
  • SQL optimisation.
  • Experience with large scale data pipeline optimisation.
  • Experience with Streaming and Batch Spark workloads.
  • Strong people management skills.

Role: Data Engineering Manager

Salary: £65,000- £70,000 per annum

Location: Leeds (One day on site).

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack McManus on .

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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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.