Data Engineering Manager
This is your chance to be a part of the M&S Data Engineering team!
You’ll be joining a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company’s core and technology leaders that truly understand data engineers and engineering, it’s an exciting time as we’re redefining ourselves into a digital first and engineering-led organisation, with the quality of our engineering team being a key differentiator.
What’s in it for you
Being a part of M&S is exactly that – becoming a part and playing your part. We’re an inclusive, dynamic, exciting, and always evolving business built on core values.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
- 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.
- 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.
- Drive solution through experimentation and innovation as a culture.
- Contribute to and create team’ OKRs and demonstrate responsibility for the entire teams' objectives.
- Drive improvement and measurement of product quality and reliability via engineering standard methodologies and metrics.
- Drive continuous learning and improvement for the Product(s) itself.
- Solve problems collaboratively, communicating decisions to stakeholders.
- Approach, contribute and help lead product planning with an agile mind-set focusing on supporting our colleagues.
- Engage with product colleagues to improve value for the customer and to understand ambiguous requirements.
- Demonstrate and champion pragmatism in terms of commercial delivery and software quality.
- Evangelise technology, innovation, values, and ways of working within the team and wider community.
- Active participation and contribution to Communities of Practice with a focus on positive momentum.
- Lead recruitment and new starter on-boarding activities.
- Help lead initiatives to take M&S Data Engineering to the next level by challenging the status quo.
Who you are
The below points are a guide to what skills we're looking for. If you don't meet all of the points below we still encourage you to apply. Through applying you give yourself the opportunity to be considered!
- 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.
- Excellent people management, interpersonal, analytical, and problem-solving skills.
- Knowledge and advocate for Continuous Integration and Continuous Delivery.
- Good understanding of testing strategies and reliability engineering.
- Highly organised and able to manage multiple work streams, manage stakeholders and expectations.
- Excellent communication skills, both written and spoken and able to adjust for different audiences.
- A leadership mindset that is willing to take responsibility.
- Able to influence people at all levels and from the highly technical to non-technical.
Everyone’s welcome
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.
This is your chance to be a part of the M&S Data Engineering team and join a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company’s core and technology leaders that truly understand data engineers and engineering, it’s an exciting time as we’re redefining ourselves into a digital first and engineering-led organisation, with the quality of our engineering team being a key differentiator.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community