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- Tasks: Design and maintain reliable data solutions while leading technical projects.
- Company: Leading retail organisation in Greater London with a focus on innovation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Expertise in ETL tools, cloud technologies, Python, and SQL required.
- Other info: Exciting opportunity to work in a collaborative and innovative setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading retail organization based in Greater London is seeking a skilled Data Engineer to design and maintain reliable data solutions.
Responsibilities include:
- Providing technical leadership
- Building scalable data pipelines
- Contributing to the development of data frameworks
The ideal candidate has strong expertise in ETL tools, cloud technologies, and programming languages like Python and SQL.
Join a dynamic team focused on innovation and quality in a hybrid work environment.
Lead Data Engineer - Cloud ETL | Python/Spark | Hybrid in London employer: MARKS&SPENCER
Contact Detail:
MARKS&SPENCER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Cloud ETL | Python/Spark | Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving ETL processes and cloud technologies. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python, SQL, and Spark. We can use platforms like LeetCode or HackerRank to sharpen our coding skills.
✨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 Lead Data Engineer - Cloud ETL | Python/Spark | Hybrid in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL tools, cloud technologies, and programming languages like Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: In your application, don’t forget to mention specific technical skills and experiences that relate to building scalable data pipelines. We’re looking for someone who can hit the ground running, so let us know what you’ve done!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at MARKS&SPENCER
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of ETL tools, cloud technologies, and programming languages like Python and SQL. Be ready to discuss specific projects where you've used these skills, as this will show your technical expertise and how you can contribute to the team.
✨Showcase Your Leadership Skills
Since the role involves providing technical leadership, think of examples where you've led a project or mentored others. Prepare to share how you approach problem-solving and decision-making in a team setting, as this will highlight your ability to guide and inspire others.
✨Demonstrate Your Problem-Solving Approach
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would design scalable data pipelines or troubleshoot issues in a cloud environment. This will give the interviewers insight into your analytical thinking and practical application of your skills.
✨Emphasise Your Adaptability
In a hybrid work environment, flexibility is key. Share experiences where you've successfully adapted to changing circumstances or worked collaboratively with remote teams. This will show that you're not only technically proficient but also a great fit for their dynamic culture.
