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- Tasks: Build and maintain scalable data pipelines using Airflow and dbt on AWS.
- Company: Fast-growing B2B financial services business in London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team focused on data quality and best practices.
- Why this job: Tackle interesting engineering challenges with valuable financial data in a modern cloud environment.
- Qualifications: Proven experience in data engineering, Python, SQL, and AWS.
The predicted salary is between 75000 - 105000 £ per year.
I'm working with a fast-growing B2B finserv business based in London, and they're looking for a Senior Data Engineer to join their data platform team. This is a genuinely interesting engineering problem — they're sitting on a large volume of valuable financial data and are in the process of modernising their data infrastructure, moving away from legacy systems towards a scalable, cloud-native stack.
What you'll be working on:
- Building and maintaining scalable data pipelines using Airflow and dbt
- Working across AWS cloud infrastructure
- Collaborating with analysts and data scientists to deliver reliable, clean data for downstream reporting and business decision-making
- Contributing to data quality, governance, and best practices across the team
What they're looking for:
- Proven data engineering experience with strong Python and SQL
- Hands-on with Airflow and/or dbt
- Solid AWS experience
- Experience with ETL pipeline development at scale
- Comfortable working in Agile/Scrum environments
- Full right to work in the UK — no sponsorship available for this role
If this sounds interesting or you know someone who might be a fit, drop me a message or apply below.
Senior Data Engineer (AWS) in City of London employer: Kinvr Digital
Contact Detail:
Kinvr Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (AWS) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data engineering or AWS. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, especially around ETL pipelines and cloud infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer (AWS) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, Python, and SQL, and don’t forget to mention any hands-on work with Airflow or dbt. We want to see how your skills match up with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a great fit for our team. Let us know what excites you about working with financial data and modernising infrastructure.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building scalable data pipelines or contributing to data governance, we love seeing real-world examples of your work and how you tackle engineering challenges.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Kinvr Digital
✨Know Your Tech Stack
Make sure you brush up on your AWS knowledge, especially around data engineering tools like Airflow and dbt. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific engineering challenges you've faced, particularly in modernising data infrastructures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Business Context
Since this role is in a B2B financial services company, it’s crucial to understand how data impacts business decisions. Familiarise yourself with common financial metrics and how clean data can drive better outcomes for the business.
✨Emphasise Collaboration
This role involves working closely with analysts and data scientists, so be prepared to discuss your experience in collaborative environments. Share examples of how you've contributed to team success and maintained data quality and governance.