Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of eight engineers in data transformation projects.
- Company: Join a top supply chain organisation focused on digital innovation.
- Benefits: Enjoy competitive salary, flexible work options, and referral bonuses.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: 6+ years in data engineering with recent managerial experience required.
- Other info: Opportunity for a no-obligation chat about the role.
The predicted salary is between 55000 - 65000 £ per year.
Role: Data Engineering Manager
Salary: £65,000- £75,000 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.GCP 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 the 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- £75,000 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
Data Engineering Manager in Leeds employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in Leeds
✨Tip Number 1
Make sure to highlight your experience in managing teams, especially if you've mentored or coached engineers before. This is crucial for the Data Engineering Manager role, so be ready to discuss specific examples during your conversations.
✨Tip Number 2
Familiarise yourself with the Databricks platform and be prepared to discuss how you've used it in previous roles. If you have experience with AWS, Azure, or GCP, make sure to mention this as it aligns with the job requirements.
✨Tip Number 3
Brush up on your knowledge of CI/CD pipelines and be ready to share your insights on how you've implemented or optimised these processes in past projects. This will demonstrate your technical expertise and leadership capabilities.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have worked in similar managerial roles. Engaging with others can provide valuable insights and may even lead to referrals that could help you land the job.
We think you need these skills to ace Data Engineering Manager in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering and management. Focus on your hands-on experience with Databricks, Python, SQL, and any leadership roles you've held.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your managerial skills. Mention specific projects where you mentored teams or implemented CI/CD pipelines to demonstrate your fit for the role.
Highlight Relevant Skills: In your application, emphasise your deep knowledge of data governance frameworks and cost optimisation strategies. Be sure to mention your experience with large-scale data pipeline optimisation and Spark workloads.
Showcase Leadership Experience: Detail your experience managing teams, including how you have coached and mentored engineers. Provide examples of how you have contributed to team success and improved processes in previous roles.
How to prepare for a job interview at VIQU IT Recruitment
✨Showcase Your Technical Expertise
As a Data Engineering Manager, it's crucial to demonstrate your deep knowledge of the Databricks platform and your hands-on experience with Python and SQL. Be prepared to discuss specific projects where you've optimised data pipelines or implemented CI/CD processes.
✨Highlight Your Leadership Skills
Since you'll be managing a team of eight engineers, emphasise your experience in mentoring and coaching. Share examples of how you've successfully led teams, set standards, and fostered a collaborative environment.
✨Discuss Strategic Thinking
The role involves contributing to strategy development and cost optimisation. Be ready to talk about your approach to creating delivery roadmaps and how you've previously implemented data governance frameworks to ensure secure handling of information.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly related to large-scale data pipeline optimisation or managing streaming and batch workloads, and how you overcame them.
