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- Tasks: Design and maintain cloud-based data solutions while leading a team of engineers.
- Company: A leading retail company in England with a focus on inclusivity.
- Benefits: Great perks for employee wellbeing and a supportive work culture.
- Why this job: Join a passionate team and make a real impact on data transformation initiatives.
- Qualifications: Extensive experience in cloud data technologies, ETL tools, Python, and SQL.
The predicted salary is between 48000 - 72000 £ per year.
A leading retail company in England is seeking a passionate Staff Data Engineer to enhance data transformation initiatives. You will design and maintain high-quality data solutions in the cloud while leading a squad of engineers. This role emphasizes the importance of an inclusive work culture and offers various perks that enhance employee wellbeing.
Ideal candidates should have extensive experience in cloud-based data technologies, including strong skills in ETL tools and programming languages such as Python and SQL.
Staff Data Engineer: Cloud Platform & Data Leadership 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: Cloud Platform & Data Leadership
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your cloud-based data projects, especially those involving ETL tools and programming languages like Python and SQL. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on how your experience aligns with the role of Staff Data Engineer and the inclusive culture they promote.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and resources available for applicants that can give you an edge.
We think you need these skills to ace Staff Data Engineer: Cloud Platform & Data Leadership
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how passionate you are about enhancing data transformation initiatives and why you’re excited about the role.
Highlight Relevant Experience: Make sure to showcase your extensive experience with cloud-based data technologies. We’re particularly interested in your skills with ETL tools and programming languages like Python and SQL, so don’t hold back!
Emphasise Teamwork: Since this role involves leading a squad of engineers, it’s crucial to highlight your teamwork and leadership skills. Share examples of how you’ve successfully collaborated with others in past projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Marks & Spencer Plc
✨Know Your Cloud Tech
Make sure you brush up on your knowledge of cloud-based data technologies. Be ready to discuss your experience with ETL tools and how you've used programming languages like Python and SQL in past projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Leadership Skills
Since this role involves leading a squad of engineers, be prepared to share examples of your leadership experience. Talk about how you've motivated teams, resolved conflicts, or driven projects to success. This will demonstrate your ability to foster an inclusive work culture.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think of specific challenges you've faced in data engineering and how you overcame them. This will help interviewers see your thought process and technical expertise in action.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's approach to data transformation initiatives or how they support employee wellbeing. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
