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For Companies At a Glance
- Tasks: Design and build high-quality data solutions while leading a squad of engineers.
- Company: Join M&S, a dynamic and inclusive retail leader transforming the industry.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Why this job: Make a real impact in data engineering and work with cutting-edge technologies.
- Qualifications: Experience in cloud data technologies, ETL tools, and strong leadership skills.
- Other info: Be part of a diverse team driving innovation and change in retail.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a passionate Staff Data Engineer to support the delivery of our data transformation. Working within a squad of data engineers, you will 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 will be an advocate for our industry leading BEAM Cloud Data Platform. As an equal partner with the Product and Delivery teams you will deliver elegant and robust solutions for complex problems affecting our customers and colleagues. You will play a key role in driving our ambition to create a best‑in‑class data engineering function. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.
What’s in it for you:
- Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day.
- We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
- After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third‑party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days!
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry‑leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you’re passionate about through a dedicated day away from work.
What you’ll do:
- Design, build and maintain high‑quality, reliable data solutions and own it with a high degree of automation in the cloud.
- Provide technical leadership to a small squad of engineers.
- Own complex tasks in the backlog and deliver them routinely with no significant issues.
- Lead in the development of M&S standard data frameworks and policies, ensuring that they are understood and adopted.
- Support other data engineers to produce clean, quality code through code reviews and pair programming.
- Design, develop, and maintain scalable data pipelines that adhere to ETL principles and business goals.
Who you are:
- Demonstrable leadership mentality, business acuity, and big‑picture approach.
- Expertise in cloud‑based data technologies and data warehousing design principles, preferably Azure.
- Expert in design/build of end‑to‑end data solutions.
- Demonstrable experience with ETL tools, e.g. Databricks, SQL.
- Demonstrable experience with Python/SQL/Spark.
Everyone’s welcome:
We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you’d benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Staff Data Engineer employer: Marks & Spencer Plc
Contact Detail:
Marks & Spencer Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and share your passion for data engineering. This can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects. Whether it's a cool data pipeline or an innovative ETL solution, having tangible examples can really impress during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, SQL, and Spark skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our M&S community. Let’s make magic happen together!
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how passionate you are about transforming data and making it accessible for everyone.
Tailor Your Experience: Make sure to highlight your relevant experience with cloud-based data technologies and ETL tools. We’re looking for specific examples that demonstrate your expertise and how you can contribute to our mission.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Staff Data Engineer role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Marks & Spencer Plc
✨Know Your Data Tech
Make sure you brush up on your knowledge of cloud-based data technologies, especially Azure. Be ready to discuss your experience with ETL tools like Databricks and how you've used Python, SQL, or Spark in past projects.
✨Showcase Your Leadership Skills
As a Staff Data Engineer, you'll need to demonstrate your leadership mentality. Prepare examples of how you've led teams or projects, focusing on your ability to guide others and deliver complex tasks without significant issues.
✨Understand the Business Goals
Familiarise yourself with M&S's mission to democratise data and how your role fits into that vision. Be prepared to discuss how your work can deliver value to the organisation and improve customer experiences.
✨Prepare for Technical Challenges
Expect technical questions that test your problem-solving skills. Think about complex data solutions you've designed or maintained, and be ready to explain your thought process and the outcomes of those projects.
