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- Tasks: Build and maintain data pipelines while supporting analytics across the organisation.
- Company: Join a mobile-first employee experience platform in London.
- Benefits: Competitive salary, stock options, private healthcare, and enhanced parental leave.
- Why this job: Make an impact by scaling a global data platform with cutting-edge technology.
- Qualifications: Strong SQL skills, experience with Snowflake, dbt, and proficiency in Python.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A mobile-first employee experience platform is seeking a Senior Data Engineer in London. In this role, you will build and maintain data ingestion pipelines, implement orchestration for workflows, and support analytics needs across the organization.
The ideal candidate will have:
- Strong SQL skills
- Experience with a modern data stack like Snowflake and dbt
- Proficiency in Python
The position offers a competitive salary, stock options, and excellent benefits including private healthcare and enhanced parental leave.
Senior Data Engineer — London | Scale a Global Data Platform employer: BLINK
Contact Detail:
BLINK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — London | Scale a Global Data Platform
✨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 mini-project or a case study that highlights your SQL prowess and experience with tools like Snowflake and dbt. This hands-on demonstration can really set us apart from the crowd.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We should also be ready to discuss our past projects and how we tackled challenges, especially those involving Python and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer — London | Scale a Global Data Platform
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it in past projects, so don’t hold back on the details!
Talk About Your Data Stack Experience: If you've worked with modern data stacks like Snowflake and dbt, let us know! Share specific examples of how you've implemented these tools in your previous roles.
Python Proficiency is Key: Since Python is a big part of this role, be sure to mention any relevant projects or experiences where you've used Python effectively. We love seeing practical applications!
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!
How to prepare for a job interview at BLINK
✨Know Your Data Stack
Make sure you brush up on your knowledge of modern data stacks, especially Snowflake and dbt. Be ready to discuss how you've used these tools in past projects and how they can benefit the company’s data ingestion pipelines.
✨SQL Skills on Point
Prepare for some SQL challenges during the interview. Practise writing complex queries and optimising them for performance. Being able to demonstrate your SQL prowess will show that you're the right fit for the role.
✨Python Proficiency
Since Python is a key requirement, be prepared to talk about your experience with it. Think of specific examples where you've used Python to solve data-related problems or automate workflows, as this will highlight your practical skills.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising processes. Be ready to share examples of challenges you've faced in previous roles and how you approached solving them. This will demonstrate your analytical thinking and adaptability.