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- Tasks: Design and build scalable data systems for an innovative music tech platform.
- Company: Join a cutting-edge music technology company with a passion for innovation.
- Benefits: Enjoy a competitive salary, flexible time off, and a hybrid work model.
- Why this job: Shape the future of data in the music industry and make a real impact.
- Qualifications: Strong experience in data engineering, SQL, and Python required.
- Other info: Work remotely while being part of a dynamic team in London.
The predicted salary is between 43200 - 72000 £ per year.
A music technology company is seeking a talented Senior Data Engineer to design, build, and scale the data systems supporting their innovative web platform. This role will involve establishing data architecture and governance while providing analytics-ready datasets.
The ideal candidate has strong experience in data engineering, proficient in SQL and Python, and is excited about shaping the company's data foundations.
The position offers a competitive salary, flexible time off, and a hybrid work model based in London.
Senior Data Engineer: Build Scalable Data Stack (Remote) employer: elasticStage
Contact Detail:
elasticStage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Data Stack (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering prowess. Whether it's a cool SQL query or a Python script, having something tangible can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL and Python skills. Use mock interviews or coding challenges to sharpen your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Build Scalable Data Stack (Remote)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data engineering, especially with SQL and Python. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our mission to build scalable data systems and support our innovative web platform.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and what you can bring to the team.
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 elasticStage
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data architecture and governance. Be ready to discuss how you've designed and built scalable data systems in the past, as this will show your expertise and fit for the role.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or explain how you would approach a specific data challenge, so practice coding problems and be ready to articulate your thought process.
✨Understand the Company’s Vision
Research the music technology company and understand their web platform. Familiarise yourself with their products and how data plays a role in their success. This will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their data stack and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
