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- Tasks: Design and optimise scalable data solutions using AWS technologies.
- Company: High-growth fintech firm based in Central London.
- Benefits: Hybrid work model, competitive salary, and opportunities for continuous improvement.
- Why this job: Join a dynamic team and make a real impact in the fintech industry.
- Qualifications: Strong expertise in ETL processes, Python, SQL, and AWS experience.
- Other info: Collaborative environment with a focus on innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth fintech firm based in Central London is seeking an AWS Data Engineer to design and optimize scalable data solutions. Ideal candidates will have strong expertise with ETL processes, proficiency in Python and SQL, and hands-on experience with AWS. This role offers an exciting opportunity to collaborate across teams in a dynamic, innovative environment with a focus on continuous improvement in data processes.
AWS Data Engineer — Hybrid London, FinTech in City of London employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer — Hybrid London, FinTech in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with AWS. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL processes, Python scripts, and SQL queries. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on AWS services and data engineering concepts. Practice common interview questions and maybe even do mock interviews with friends to build 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 noticed.
We think you need these skills to ace AWS Data Engineer — Hybrid London, FinTech in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in ETL processes, Python, SQL, and AWS in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the AWS Data Engineer role. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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 in our dynamic team!
How to prepare for a job interview at McGregor Boyall
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with services like S3, Redshift, and Lambda, as well as best practices for data storage and processing. Being able to discuss how you've used these tools in past projects will really impress them.
✨Show Off Your ETL Skills
Prepare to talk about your experience with ETL processes. Have specific examples ready that showcase how you've designed or optimised data pipelines. They’ll want to see your problem-solving skills in action, so think of challenges you faced and how you overcame them.
✨Python and SQL Proficiency is Key
Since this role requires strong Python and SQL skills, be ready to demonstrate your expertise. You might be asked to solve a coding challenge or explain your approach to writing efficient queries. Practising common problems beforehand can give you a leg up.
✨Emphasise Collaboration and Continuous Improvement
This fintech firm values teamwork and innovation, so highlight your experience working in cross-functional teams. Discuss how you’ve contributed to continuous improvement in data processes and how you adapt to feedback. Showing that you’re a team player will resonate well with them.
