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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 collaboration.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact with real-time analytics in a supportive 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 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
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tink on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, AWS, and SQL. This is your chance to demonstrate your expertise in real-time analytics and data modelling.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We recommend simulating the interview environment with a friend or using online resources to get comfortable with technical questions related to Snowflake and Airflow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Tink team.
We think you need these skills to ace Senior Data Engineer - Real-Time Analytics & Data Platform
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Senior Data Engineer position and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data models or optimised data warehouses, make sure to mention them! We love seeing real-world applications of your skills, so share those success stories.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Tink
✨Know Your Tech Stack
Make sure you brush up on your skills with Python, AWS, SQL, and data modelling. Be ready to discuss how you've used these tools in past projects, especially in relation to building data models and optimising data warehouses.
✨Showcase Real-Time Analytics Experience
Tink is focused on real-time analytics, so come prepared with examples of how you've implemented real-time data solutions. Discuss any challenges you faced and how you overcame them to demonstrate your problem-solving skills.
✨Familiarise Yourself with Snowflake and Airflow
Since these are key tools for the role, do some research on their functionalities and best practices. If you have experience using them, be ready to share specific instances where they made a difference in your work.
✨Emphasise Collaboration
This position is in a collaborative environment, so highlight your teamwork experiences. Share stories about how you’ve worked with others to achieve data-driven goals, and express your enthusiasm for contributing to Tink's mission.