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 and 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
Locations
Head of Data Enigneering in Cheshire, Warrington employer: Morgan McKinley
Join a leading UK retailer that is at the forefront of data transformation, offering an exciting opportunity for the Head of Data Engineering to shape the future of their cloud-native data platform. With a strong emphasis on employee growth and a collaborative work culture, you will lead a dynamic team in a hybrid working environment in Manchester, where innovation and modern engineering practices are not just encouraged but celebrated. Enjoy competitive remuneration and the chance to make a significant impact in a fast-paced, agile setting, making this an exceptional place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Enigneering in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at major retailers. A personal recommendation can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with Snowflake and dbt. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and forums to keep your knowledge fresh. This will not only help you in interviews but also show employers that you're passionate about data engineering.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles, and applying directly can give you a better shot at getting noticed. Plus, it’s super easy to navigate and find the perfect fit for your skills.
We think you need these skills to ace Head of Data Enigneering in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your leadership experience and hands-on skills with Snowflake, dbt, and Azure. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can lead our team through this transformation. Keep it engaging and relevant to the role.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've successfully led teams and delivered projects in high-velocity environments. We love seeing results!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can't wait to hear from you!
How to prepare for a job interview at Morgan McKinley
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, dbt, and Azure data infrastructure. Brush up on your SQL and Python skills too, as you might be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams through transformations. Highlight your people management experience and how you’ve fostered a collaborative environment, especially in high-velocity settings.
✨Understand the Business Context
Research the retailer and their current data challenges. Be ready to discuss how your vision for data engineering can align with their goals and how you can drive the adoption of modern practices like dbt.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to make critical decisions or manage conflicts within your team, and be ready to share those stories.
