Senior Data Engineer
AI in this role
Build and maintain scalable cloud-based data pipelines and solutions using Python, SQL, and Spark.
What you'll do
Your key accountabilities will include
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
Your skills and experience will include
Extensive proven experience in cloud-based data technologies and data warehousing design principles, preferably Azure.
Deep understanding of design/building end-to-end data solutions.
Solid experience with ETL tools, Databricks, SQL.
Solid experience with Python/SQL/Spark.
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.
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
How we rate this
Senior Data Engineer at Marks & Spencer rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where code review was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Warehousing, Data Pipelines, Code Review, Cloud Computing, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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