Senior Data Engineer

Senior Data Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain high-quality data solutions in the cloud with automation.
  • Company: Join M&S, a dynamic and inclusive retail leader transforming the industry.
  • Benefits: Enjoy 20% discount, competitive holidays, bonuses, and wellbeing support.
  • Why this job: Make a real impact by driving innovation and data-driven decisions.
  • Qualifications: Experience in cloud data technologies, ETL tools, and programming languages.
  • Other info: Be part of a diverse team committed to making change happen.

The predicted salary is between 43200 - 72000 £ per year.

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 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.
  • 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 solutions.
  • Solid experience with ETL tools, Databricks, SQL.
  • 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.

Senior Data Engineer employer: MARKS&SPENCER

Marks & Spencer is an exceptional employer that champions inclusivity and innovation, offering a dynamic work environment where every team member plays a vital role in delivering quality service to our customers. With competitive benefits such as a generous pension scheme, extensive training programmes, and a strong focus on employee wellbeing, M&S fosters personal and professional growth while encouraging a collaborative culture. Located in a vibrant setting, we provide unique opportunities for meaningful contributions and career advancement, making M&S a truly rewarding place to work.
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Contact Detail:

MARKS&SPENCER Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former employees at M&S on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by practising common questions related to data engineering. We recommend using the STAR method to structure your answers, showcasing your experience with cloud technologies and ETL tools.

✨Tip Number 3

Show off your skills! If you have a portfolio of projects or contributions to open-source, bring it along to the interview. Demonstrating your hands-on experience with Python, SQL, and data pipelines can set you apart.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the M&S team.

We think you need these skills to ace Senior Data Engineer

Cloud-based Data Technologies
Data Warehousing Design Principles
ETL Tools
Databricks
SQL
Python
Spark
Data Pipeline Development
Code Reviews
Pair Programming
Analytical Tool Development
Data-driven Decision Making
Operational Efficiency
Problem-Solving Skills
Innovation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud-based data technologies and ETL tools, as these are key for us at M&S. Use specific examples that showcase your skills in building data solutions.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at M&S. Don’t forget to mention any innovative projects you've worked on that align with our goals.

Showcase Your Technical Skills: We love seeing your technical prowess! Be sure to include your experience with Python, SQL, and Spark in your application. If you’ve worked with Databricks or Azure, make that stand out too – it’s what we’re looking for!

Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll find all the details about the role and our amazing perks there!

How to prepare for a job interview at MARKS&SPENCER

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of cloud-based data technologies, especially Azure. Be ready to discuss your experience with ETL tools, Databricks, SQL, and Python/Spark in detail. The more specific examples you can provide about your past projects, the better!

✨Showcase Your Problem-Solving Skills

Prepare to talk about complex tasks you've tackled in the past. Think of examples where you had to innovate or experiment to find a solution. This will demonstrate your ability to own tasks and deliver results without significant issues.

✨Emphasise Team Collaboration

Since you'll be supporting other data engineers, highlight your experience with code reviews and pair programming. Share stories that showcase how you’ve helped others improve their code quality and how you thrive in a collaborative environment.

✨Align with M&S Values

Familiarise yourself with M&S's commitment to inclusivity and innovation. Be prepared to discuss how your personal values align with theirs and how you can contribute to their mission of delivering exceptional quality and service to customers.

Senior Data Engineer
MARKS&SPENCER
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