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- Tasks: Build data models and optimise our Data Warehouse using Snowflake and Airflow.
- Company: Join Tink, a forward-thinking company in Greater London.
- Benefits: Enjoy a hybrid work model with flexibility and competitive perks.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact with real-time analytics in a collaborative team.
- Qualifications: Strong experience in Python, AWS, SQL, and data modelling required.
The predicted salary is between 60000 - 80000 £ per year.
Tink is seeking a Data Engineer to join our Data Engineering team in Greater London. You will be responsible for building data models and optimising our Data Warehouse using tools such as Snowflake and Airflow.
Candidates should have strong experience in Python, AWS, SQL, and data modelling.
This hybrid position allows for flexibility in working from home or in-office as directed by your hiring manager. Join us and contribute to impactful data solutions in a collaborative environment.
Senior Data Engineer - Real-Time Analytics & Data Platform in London employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real-Time Analytics & Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tink on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Python, AWS, and SQL. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Be ready for technical challenges! Brush up on your data modelling and real-time analytics knowledge. We want to see how you tackle problems, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team at Tink.
We think you need these skills to ace Senior Data Engineer - Real-Time Analytics & Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, SQL, and data modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for candidates who can think critically and come up with innovative solutions, so let us know how you’ve done this in the past!
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 follow the prompts and you’ll be all set!
How to prepare for a job interview at Tink
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Python, AWS, SQL, and data modelling. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've built data models or optimised data warehouses. Think about the impact your solutions had on previous teams or projects, and be ready to explain your thought process.
✨Understand Real-Time Analytics
Since this role focuses on real-time analytics, make sure you can articulate what that means and how it applies to data engineering. Familiarise yourself with relevant concepts and be prepared to discuss how you would approach real-time data challenges.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Tink's data platform, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.