Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise data warehouses and build robust data models in a dynamic team.
- Company: Leading payment technology company based in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make substantial contributions to exciting data projects and enhance your skills.
- Qualifications: Experience in data modelling, ETL projects, and proficiency in Python and AWS.
- Other info: Join a proactive team passionate about data and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading payment technology company in Greater London is seeking a Senior Data Engineer. In this hybrid role, you will optimize the data warehouse, build robust data models, and manage data governance practices.
The ideal candidate will have experience in data modeling, ETL projects, and proficiency in Python and AWS. If you're passionate about data and have a proactive mindset, this position offers a chance to make substantial contributions in a dynamic team.
Senior Data Engineer - Snowflake, dbt & Airflow in London employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Snowflake, dbt & Airflow in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, ETL projects, and any cool stuff you've built using Python and AWS. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data governance challenges or optimising data warehouses—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and passions. Plus, it shows you're genuinely interested in joining our dynamic team.
We think you need these skills to ace Senior Data Engineer - Snowflake, dbt & Airflow in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling, ETL projects, and tools like Python and AWS. 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 express your passion for data and how you can contribute to our team. We love seeing candidates who are proactive and enthusiastic about their work.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's optimising a data warehouse or building data models, we want to know what you've done and how it relates to the role.
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. Don’t miss out!
How to prepare for a job interview at Tink
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, dbt, and Airflow. Brush up on your knowledge of data modelling and ETL processes, as these will likely come up during the interview. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data governance or optimised data warehouses in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your proactive mindset.
✨Familiarise Yourself with AWS
Since proficiency in AWS is a key requirement, ensure you can discuss your experience with AWS services relevant to data engineering. Think about how you've leveraged AWS for data storage, processing, or analytics in past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, 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.
