At a Glance
- Tasks: Design and maintain high-quality data solutions while leading a squad of engineers.
- Company: Join M&S, a dynamic and inclusive company focused on exceptional quality and service.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and wellness support.
- Why this job: Be part of a transformative team using cutting-edge tech to democratize data.
- Qualifications: Expertise in cloud data technologies, ETL tools, and Python/SQL/Spark required.
- Other info: M&S values diversity and supports all applicants throughout the recruitment process.
The predicted salary is between 43200 - 72000 £ 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.
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, and 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/ML frameworks and policies, ensuring that they are understood and adopted.
- Support other data/ML engineers to produce clean, quality code through code reviews and pair programming.
- Design, develop, and maintain scalable data/ML 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/administration of end-to-end data/ML solutions.
- Demonstrable experience with ETL tools, e.g. Databricks, SQL.
- Expertise in building end-to-end ML systems and ML Lifecycle (Feature engineering, monitoring, testing, deployment).
- 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.
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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
Familiarize yourself with the BEAM Cloud Data Platform and its features. Understanding how it works and its advantages will help you articulate your value during discussions with the team.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led projects or teams in the past. This will demonstrate your ability to provide technical leadership within a squad of engineers.
✨Tip Number 3
Brush up on your knowledge of ETL tools like Databricks and SQL. Being able to discuss your experience with these technologies will be crucial, as they are key components of the role.
✨Tip Number 4
Prepare to discuss your experience with building end-to-end ML systems. Highlight specific projects where you’ve implemented feature engineering, monitoring, and deployment to showcase your expertise.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Staff Data Engineer position. Make sure you understand the key responsibilities and required skills, such as expertise in cloud-based data technologies and experience with ETL tools.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your leadership mentality, technical expertise in data/ML solutions, and any experience with Azure or similar technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of M&S's mission. Mention specific projects or experiences that demonstrate your ability to design and maintain high-quality data solutions.
Showcase Your Technical Skills: In your application, provide examples of your work with Python, SQL, and Spark. Highlight any successful projects where you led a team or implemented complex data solutions, as this will resonate with the company's focus on technical leadership.
How to prepare for a job interview at Marks & Spencer Plc
✨Show Your Leadership Skills
As a Staff Data Engineer, demonstrating your leadership mentality is crucial. Be prepared to discuss past experiences where you led a team or project, highlighting how you guided others and made impactful decisions.
✨Highlight Your Technical Expertise
Make sure to showcase your expertise in cloud-based data technologies, especially Azure. Be ready to discuss specific projects where you designed and built end-to-end data/ML solutions, emphasizing your proficiency with tools like Databricks, SQL, and Python.
✨Discuss Your Problem-Solving Approach
Prepare to talk about complex problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how you delivered robust solutions that aligned with business goals.
✨Emphasize Collaboration and Communication
Since you'll be working closely with product and delivery teams, it's important to demonstrate your ability to collaborate effectively. Share examples of how you've worked with cross-functional teams to achieve common objectives and ensure everyone is aligned.