At a Glance
- Tasks: Design and build high-quality data solutions in the cloud with a small team.
- Company: Join MARKS&SPENCER, a leader in innovative retail solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Lead impactful projects and shape the future of data engineering.
- Qualifications: Expertise in cloud tech, ETL tools, Python, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
MARKS&SPENCER is seeking a dynamic Data Engineer to design, build, and maintain high-quality data solutions in the cloud. The ideal candidate will lead a small team of engineers, developing standard data frameworks and policies.
Key qualifications include:
- Expertise in cloud technologies
- ETL tools
- Programming languages such as Python and SQL
Join us to deliver innovative data solutions and make an impact on our business!
Staff Data Engineer Lead — Azure, ETL & Pipelines in London employer: MARKS&SPENCER
At MARKS&SPENCER, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Staff Data Engineer Lead, you will not only lead a talented team but also have access to continuous professional development opportunities and cutting-edge technology in a vibrant environment. Join us in our London office, where your contributions will directly influence our data-driven strategies and help shape the future of our business.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer Lead — Azure, ETL & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MARKS&SPENCER on LinkedIn. A friendly chat can give us insider info about the company culture and what they really value in a candidate.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data solutions, especially those involving Azure, ETL, and Python. We want to see how you tackle real-world problems and innovate with data.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Staff Data Engineer Lead — Azure, ETL & Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud technologies, ETL tools, and programming languages like Python and SQL. We want to see how your skills align with the role of a Staff Data Engineer Lead!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can lead a team effectively. Share specific examples of your past projects that showcase your expertise in building high-quality data solutions.
Showcase Leadership Skills:Since this role involves leading a small team, make sure to highlight any previous leadership experiences. We love to see how you've motivated others and developed standard frameworks in your past roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at MARKS&SPENCER
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure, ETL tools, and programming languages like Python and SQL. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and expertise.
✨Show Leadership Skills
Since the role involves leading a small team, be prepared to share examples of how you've successfully managed projects or mentored others. Highlight your ability to develop standard data frameworks and policies, as this aligns with what they’re looking for.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in data engineering. Think about past experiences where you solved complex problems or improved processes, and be ready to explain your thought process and the outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data projects or how they envision the future of data solutions at Marks & Spencer. This demonstrates your enthusiasm and forward-thinking mindset.
