At a Glance
- Tasks: Design and build high-quality data solutions while leading a squad of engineers.
- Company: Join Marks & Spencer, a dynamic and inclusive retail leader.
- Benefits: Enjoy 20% discount, competitive holidays, and generous pension schemes.
- Other info: Be part of a diverse team driving innovation in the retail industry.
- Why this job: Make a real impact in transforming data engineering with cutting-edge technologies.
- Qualifications: Experience in cloud data technologies and strong leadership skills.
The predicted salary is between 56700 - 69300 £ per year.
Summary
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.
- All the details
- 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.
Here are some of the benefits we offer that make working for M&S just that little bit more special
- 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.
- #hybridrole #LI-hybrid #LI-HB1
Staff Data Engineer in London employer: Marks & Spencer Group
Join M&S as a Customer Assistant in our Food section, where you'll be part of a dynamic team that values hard work and dedication. With a strong focus on employee growth and development, we offer a vibrant work culture that encourages collaboration and innovation. Located in Wolstanton, you will enjoy the benefits of working for one of the UK's fastest-growing retailers, with opportunities to enhance your skills and advance your career while delivering exceptional service to our valued customers.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer in London
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We think you need these skills to ace Staff Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Marks & Spencer Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marks & Spencer Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marks & Spencer Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marks & Spencer Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
