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- Tasks: Build and maintain scalable data pipelines using Airflow and dbt.
- Company: Join Kinvr Digital, a forward-thinking tech company in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Modernise financial data infrastructure and make a real impact.
- Qualifications: Proven data engineering experience with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Kinvr Digital is seeking a Senior Data Engineer to join their team in London. In this role, you will build and maintain scalable data pipelines using Airflow and dbt, work across AWS infrastructure, and ensure data quality and governance.
Candidates should have proven experience in data engineering with strong Python and SQL skills, hands-on experience with Airflow or dbt, and familiarity with ETL pipeline development. This role offers an exciting opportunity to work on modernizing financial data infrastructure.
Senior Data Engineer: AWS, Airflow & dbt for Scalable Data employer: Kinvr Digital
Contact Detail:
Kinvr Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: AWS, Airflow & dbt for Scalable Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects with Airflow and dbt, or any cool stuff you've built on AWS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with ETL pipeline development. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer: AWS, Airflow & dbt for Scalable Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Airflow, and dbt. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for modernising our financial data infrastructure.
Showcase Your Projects: If you've worked on any relevant projects, especially involving ETL pipelines, 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 us!
How to prepare for a job interview at Kinvr Digital
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used Airflow or dbt, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Experience
Prepare to talk about your experience with ETL pipeline development. Have examples ready that demonstrate your ability to build and maintain scalable data pipelines, especially in an AWS environment.
✨Understand Data Quality and Governance
Kinvr Digital is keen on data quality and governance, so be prepared to discuss how you've ensured data integrity in your previous roles. Think of specific strategies or tools you've used to maintain high standards.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tech stack they use, or how they approach modernising their financial data infrastructure. This shows your genuine interest in the role.