At a Glance
- Tasks: Lead a data engineering team through a major platform transformation and set technical direction.
- Company: Major UK retailer transforming its data usage with a cloud-native platform.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a fast-paced, agile programme with excellent career advancement opportunities.
- Why this job: Make a real impact by leading innovative data engineering projects in a dynamic environment.
- Qualifications: Proven leadership, hands-on experience with Snowflake, and strong dbt and SQL/Python skills.
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 employer: Morgan McKinley
As a major UK retailer, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our Manchester-based team enjoys the benefits of hybrid working, competitive salaries, and ample opportunities for professional growth, making it an ideal environment for those looking to make a significant impact in the data engineering field. Join us to lead transformative projects while being part of a supportive community that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Enigneering
✨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 that you're genuinely passionate about data engineering.
✨Tip Number 4
Apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate and keeps everything in one place.
We think you need these skills to ace Head of Data Enigneering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience and hands-on work with Snowflake, dbt, and Azure to show us you’re the right fit for this role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of your achievements in leading teams and delivering projects in agile environments.
Showcase Your Technical Skills:Don’t shy away from getting into the nitty-gritty of your technical expertise. We want to see your proficiency in SQL, Python, and your experience with modern data architectures. This is your chance to shine!
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 don’t miss out on any important updates during the process.
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 hands-on capacity.
✨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 towards success. Highlight your experience in transforming data engineering functions and how you’ve fostered a collaborative environment.
✨Prepare for Technical Challenges
Expect some technical questions or case studies during the interview. Practice explaining complex concepts clearly and concisely, as you’ll need to demonstrate your ability to set technical direction and make decisions under pressure.
✨Understand the Business Context
Research the company and its data transformation goals. Be ready to discuss how your vision aligns with their objectives and how you can contribute to their journey in modernising their data platform. This shows you’re not just a techie but also a strategic thinker.
