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- Tasks: Design and maintain data architectures and ETL pipelines using Python and SQL.
- Company: Dynamic fintech company in London with a focus on innovation.
- Benefits: Flexible working, wellness days, and generous benefits package.
- Why this job: Join a team enhancing data security and compliance while building scalable solutions.
- Qualifications: Strong background in data engineering and proficiency in AWS required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in London is looking for a skilled Data Engineer to design and maintain data architectures and ETL pipelines. This role involves writing Python and SQL code, optimizing data pipelines, and collaborating with various teams to enhance data security and compliance.
Candidates should have a strong background in data engineering, proficiency in AWS, and experience with ETL processes, while a familiarity with tools like Airflow is a plus.
The company offers generous benefits including flexible working and wellness days.
Senior AWS Data Engineer: Build Scalable Pipelines in City of London employer: With Intelligence
Contact Detail:
With Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer: Build Scalable Pipelines in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for a Senior AWS Data Engineer role. 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 best data engineering projects, especially those involving AWS and ETL processes. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL coding challenges. We recommend practicing common data engineering problems and being ready to discuss your past experiences with data architectures and pipeline optimisation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AWS Data Engineer: Build Scalable Pipelines in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and SQL. We want to see how your skills align with the role of a Senior AWS Data Engineer, so don’t be shy about showcasing your data engineering background!
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 you can contribute to our team. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Projects: If you've worked on any relevant projects, especially involving ETL processes or tools like Airflow, make sure to mention them. We’re keen to see real-world applications of your skills and how you’ve tackled challenges in the past.
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 what we do at StudySmarter!
How to prepare for a job interview at With Intelligence
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Python, and SQL. Brush up on your ETL processes and be ready to discuss how you've optimised data pipelines in the past. The more specific examples you can provide, the better!
✨Showcase Collaboration Skills
Since this role involves working with various teams, be prepared to talk about your experience collaborating with others. Share examples of how you’ve worked cross-functionally to enhance data security and compliance.
✨Familiarise with Airflow
If you have experience with Airflow, great! If not, take some time to learn the basics. Being able to discuss how you would use it in your data engineering tasks could set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data architecture and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
