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- Tasks: Join a squad of data engineers to build and maintain high-quality data solutions in the cloud.
- Company: Be part of Marks & Spencer, a dynamic and inclusive company transforming retail with exceptional quality and service.
- Benefits: Enjoy a 20% discount, competitive holidays, bonuses, and amazing perks for your well-being.
- Why this job: Drive innovation in data engineering and be part of a best-in-class team creating impactful solutions.
- Qualifications: Bring extensive experience in cloud data technologies, ETL tools, and building end-to-end ML systems.
- Other info: Marks & Spencer values diversity and supports all applicants throughout the recruitment process.
The predicted salary is between 48000 - 72000 £ per year.
Summary
We are seeking a passionate Senior 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 sophisticated and robust solutions to solve complicated problems for our customers and colleagues.
You will play a key role in driving our ambition to create a best-in-class data engineering team, environment, and culture. 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.
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
- Build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud.
- Own complex tasks in the backlog and deliver them routinely with no significant issues.
- 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.
- Drive solution through experimentation and innovation.
- Support the build of analytical tools that use the data pipeline to deliver actionable insights, enabling data driven decision making, operational efficiency and other key business performance metrics.
Who you are
- Extensive proven experience in cloud-based data technologies and data warehousing design principles, preferably Azure.
- Sophisticated understanding of design/building end-to-end data/ML solutions.
- Solid experience with ETL tools, Databricks, SQL.
- Demonstrable experience in building end-to-end ML systems and ML Lifecyle (Feature engineering, monitoring, testing, deployment).
- Solid experience in ML and AI concepts.
- Solid 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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Senior Data Engineer employer: Marks & Spencer Plc
Contact Detail:
Marks & Spencer Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior 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 demonstrate your passion for the role and show that you're ready to advocate for this technology.
✨Tip Number 2
Network with current data engineers or professionals in similar roles at M&S. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience with cloud-based data technologies, especially Azure. Be ready to share specific examples of projects where you've implemented ETL processes or built data pipelines, as this will highlight your relevant expertise.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. This aligns with the role's emphasis on partnership with Product and Delivery teams, demonstrating that you can contribute to a team-oriented environment.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Engineer position. Make sure you understand the key responsibilities and required skills, such as experience with cloud-based data technologies and ETL principles.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your expertise in cloud technologies, data warehousing, and any specific tools mentioned like Databricks, SQL, and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention how your background and skills can contribute to their goal of democratizing data and building a best-in-class data engineering team.
Showcase Your Projects: If applicable, include links or descriptions of past projects that demonstrate your ability to build end-to-end data/ML solutions. Highlight any innovative approaches you've taken and the impact of your work on previous teams or organizations.
How to prepare for a job interview at Marks & Spencer Plc
✨Showcase Your Cloud Expertise
Be prepared to discuss your extensive experience with cloud-based data technologies, especially Azure. Highlight specific projects where you implemented data solutions and how they contributed to business goals.
✨Demonstrate Your ETL Knowledge
Since the role emphasizes ETL principles, come ready to explain your experience with ETL tools and how you've designed and maintained scalable data pipelines. Use examples to illustrate your problem-solving skills in this area.
✨Highlight Collaboration Skills
As a Senior Data Engineer, you'll work closely with other engineers and teams. Share experiences where you supported colleagues through code reviews or pair programming, emphasizing your ability to foster a collaborative environment.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and Spark. Brush up on your knowledge of machine learning concepts and be ready to discuss the end-to-end ML lifecycle, including feature engineering and deployment strategies.
