At a Glance
- Tasks: Lead a team of data engineers to create reliable data solutions and drive data excellence.
- Company: Join M&S, a dynamic and inclusive retailer committed to innovation and sustainability.
- Benefits: Enjoy 20% discount, flexible holidays, gym perks, and a generous pension scheme.
- Why this job: Be part of a transformative journey in data, making a real impact in a supportive culture.
- Qualifications: Experience in leading data engineering teams and knowledge of cloud technologies, especially Azure.
- Other info: M&S values diversity and offers flexible working options to accommodate all applicants.
The predicted salary is between 43200 - 72000 £ per year.
Everyone is welcome at M&S. No exceptions. It’s your background, abilities and differences that make you, uniquely you. And when you’re part of M&S, that individuality has the potential to make waves.
We’re seeking a hardworking Data Engineering Manager to support the delivery of our data transformation. Working with your data engineers, you’ll work with partners from across the business to implement the data strategy, delivering value to the organisation and achieving our goal of democratising data. You’ll be an advocate for our industry leading Cloud Data Platform. As an equal partner with the Product and Delivery teams you will deliver elegant and robust solutions to solve complex problems for our customers and colleagues.
What’s in it for you:
- 20% Colleague discount on most things from furniture, fashion and food.
- A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development.
- Having options to progress is something we’re proud of at M&S.
- Attractive annual bonus, based on company performance and personal objectives.
- Competitive holiday entitlement with the potential to buy extra holiday days!
- Amazing perks and discounts via our M&S Choices website, including GymSave – that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes.
- Charity Volunteer Day – A paid day away from work to support your chosen charity.
- A very generous Defined Contribution Pension Scheme and Life Assurance.
- Every colleague at M&S has access to a fantastic range of wellbeing support – this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes.
What you’ll do:
- Lead the engineering teams to build and maintain high quality and reliable data solutions and own the data engineering excellence of their teams e.g., behaviours, operations, and technical quality.
- Line manage and develop engineers to ensure they have the right skills, development plans and attitude to learning.
- Develop effective relationships with Product, Delivery and Data Science teams to prioritise, problem solve & maximise value to market.
- Work with the wider Data Technology function to shape the technical strategy.
- Help develop/improve M&S standard frameworks and policies, ensuring that they are understood and adopted.
Who you are:
- Experience building and leading teams of highly skilled data engineers that deliver high-quality software.
- Solid background in data engineering, with experience in a variety of systems and technologies.
- Good knowledge in cloud-based data technologies and data warehousing design principles, preferably Azure.
- Good understanding of Data Science principles.
- Proven track record in delivering, operating, leading, hiring and pivoting along with excellent people management, interpersonal, analytical, and problem-solving skills.
- Knowledge and advocate for Continuous Integration and Continuous Delivery.
M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That’s why we’re revolutionising how we work and offering our most exciting opportunities yet. There’s never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact.
We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.
Data Engineer Manager - London, Greater London employer: Marks & Spencer
Contact Detail:
Marks & Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Manager - London, Greater London
✨Tip Number 1
Familiarise yourself with M&S's data strategy and their Cloud Data Platform. Understanding their approach will help you articulate how your experience aligns with their goals during discussions.
✨Tip Number 2
Network with current or former employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable in interviews.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing data engineering teams. M&S values strong people management skills, so be ready to share specific examples of how you've developed talent.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies, especially Azure. Being knowledgeable about current advancements will demonstrate your commitment to continuous learning and innovation.
We think you need these skills to ace Data Engineer Manager - London, Greater London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and team leadership. Use specific examples that demonstrate your ability to deliver high-quality software and manage teams effectively.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with M&S's goals. Mention your experience with cloud-based technologies, particularly Azure, and your understanding of Data Science principles.
Showcase Your Leadership Skills: Emphasise your experience in building and leading teams. Provide examples of how you've developed engineers and fostered a culture of continuous learning and improvement within your teams.
Highlight Problem-Solving Abilities: Discuss specific challenges you've faced in previous roles and how you approached solving them. This will demonstrate your analytical skills and ability to maximise value in a collaborative environment.
How to prepare for a job interview at Marks & Spencer
✨Showcase Your Leadership Skills
As a Data Engineer Manager, you'll be leading teams. Be prepared to discuss your experience in managing and developing engineers, highlighting specific examples of how you've fostered growth and collaboration within your team.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of data engineering principles, especially in cloud-based technologies like Azure. Be ready to discuss your hands-on experience with data warehousing and any relevant projects you've worked on.
✨Understand the Business Context
M&S is focused on democratising data and delivering value. Familiarise yourself with their data strategy and think about how your role can contribute to this goal. Prepare to discuss how you can align technical solutions with business objectives.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your analytical and problem-solving skills. Think of complex challenges you've encountered in previous roles and how you approached them, particularly in relation to data engineering and team dynamics.