At a Glance
- Tasks: Lead a data engineering team through a major platform transformation and set technical direction.
- Company: Major UK retailer undergoing a data transformation with a hybrid work model.
- Benefits: Competitive salary, hands-on leadership role, and opportunity to shape the future of data.
- Other info: Join a dynamic team with opportunities for growth and development.
- Why this job: Make a real impact by leading innovative data projects in a fast-paced environment.
- Qualifications: Proven leadership, deep Snowflake experience, and strong dbt, SQL/Python skills required.
The predicted salary is between 100000 - 125000 € per year.
A major UK retailer is transforming how it uses data and they need an experienced Head of Data Engineering to lead the charge. This is a senior, hands-on leadership role at the heart of a cloud-native data platform build. You'll be setting the technical direction for data engineering, leading a growing team, and owning the modernised platform long after the initial build is complete.
What you'll be doing:
- Leading and growing a data engineering team through a major platform transformation
- Setting the technical direction for data pipelines, architecture, and tooling across a Snowflake Medallion environment
- Overseeing the migration of legacy SQL Server, SSRS, and Business Objects onto the modern platform
- Owning the data engineering function through delivery and into the steady-state — you build it, you run it
- Working closely with integrations, reporting, and BA teams to ensure end-to-end delivery
- Acting as the senior escalation point for data engineering decisions across a fast-paced, agile programme
- Driving adoption of dbt and modern engineering best practices across the team
What we're looking for:
- Proven leadership experience — real people management, not just a senior engineer with a title
- Deep hands-on experience with Snowflake, ideally including Medallion architecture
- Strong dbt and SQL/Python skills — this role requires someone who can still get into the detail
- Azure data infrastructure experience
- A track record of delivering at pace in agile, high-velocity environments
- Experience migrating off legacy data estates
- UK right to work — no sponsorship available
The stack: Snowflake · dbt · Azure One Lake · Power BI · Datadog · Python · SQL
Head of Data Enigneering in Manchester employer: Morgan McKinley
Join a leading UK retailer in Manchester as the Head of Data Engineering, where you'll play a pivotal role in transforming data utilisation within a dynamic and innovative environment. With a strong focus on employee growth, this company offers a collaborative work culture that encourages creativity and technical excellence, alongside competitive salaries and hybrid working options. Embrace the opportunity to lead a talented team while enjoying the benefits of working for a major player in the retail sector, committed to modernising its data capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Enigneering in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Head of Data Engineering role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with Snowflake, dbt, and Azure. When you get the chance to chat with potential employers, share specific examples of how you've led teams and delivered successful projects.
✨Tip Number 3
Ace the interview by being ready to discuss technical challenges you've faced and how you overcame them. Employers love hearing about real-life scenarios, especially when it comes to migrating legacy systems and adopting modern practices.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, we’re always looking for talented individuals to join our team!
We think you need these skills to ace Head of Data Enigneering in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Head of Data Engineering role. Highlight your leadership experience and hands-on expertise with Snowflake, dbt, and Azure to grab our attention!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you’ve successfully led teams through transformations. We want to see your personality and what makes you the perfect fit for us.
Showcase Your Technical Skills:Don’t shy away from getting into the nitty-gritty! Mention specific projects where you’ve used SQL, Python, or worked with cloud-native platforms. We love seeing real examples of your work and how you’ve driven results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Let’s make it happen!
How to prepare for a job interview at Morgan McKinley
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Snowflake, dbt, and Azure. Brush up on your SQL and Python skills too! Be ready to discuss how you've used these technologies in past projects, especially in a cloud-native environment.
✨Showcase Your Leadership Skills
This role is all about leading a team, so be prepared to share specific examples of how you've managed people and driven a team through transformation. Highlight your experience in fostering collaboration and delivering results in fast-paced settings.
✨Prepare for Technical Questions
Expect deep technical questions about data pipelines, architecture, and tooling. Think about challenges you've faced in migrating legacy systems and how you overcame them. This is your chance to demonstrate your hands-on experience!
✨Understand the Business Context
Research the retailer and their data strategy. Understand their goals and how your role as Head of Data Engineering fits into their vision. This will help you align your answers with their needs and show that you're genuinely interested in the position.
