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- Tasks: Optimise data warehouses and build robust data models in a hybrid role.
- Company: Leading payment technology company based in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and make substantial contributions to exciting data projects.
- Qualifications: Experience in data modelling, ETL projects, and proficiency in Python and AWS.
- Other info: Proactive mindset required; great chance to advance your career.
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 employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Snowflake, dbt & Airflow
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models, ETL projects, and any relevant work with Snowflake, dbt, and Airflow. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and AWS. We can find common interview questions online and even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the job description, making it easier for recruiters to see our fit.
We think you need these skills to ace Senior Data Engineer - Snowflake, dbt & Airflow
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 what we're looking for, so don’t be shy about showcasing your relevant achievements!
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, so share examples of how you've tackled challenges in the past.
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. Include links if possible!
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 shows you're keen on joining our dynamic team!
How to prepare for a job interview at Tink
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Snowflake, dbt, and Airflow. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling and ETL projects. Have specific examples ready that demonstrate your ability to build robust data models and optimise data warehouses.
✨Demonstrate Your Proactive Mindset
This role values a proactive approach, so think of instances where you've taken the initiative in your previous roles. Share stories that highlight your problem-solving skills and how you’ve contributed to team success.
✨Familiarise Yourself with Data Governance
Since managing data governance practices is key for this position, be prepared to discuss your understanding of data governance principles. Bring examples of how you've implemented or improved data governance in your past work.
