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- Tasks: Design and build cloud-based data pipelines for top financial services clients.
- Company: Leading consulting firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for personal growth.
- Why this job: Make a real impact in the financial sector with cutting-edge AWS solutions.
- Qualifications: Expertise in AWS and experience in data engineering.
- Other info: Join a dynamic team with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm is seeking a Principal Data Engineer with AWS expertise in London. This role involves designing, building, and deploying cloud-based data pipelines that impact Tier 1 financial services clients. The position supports collaboration with clients and development of robust data engineering solutions. A competitive benefits package and a hybrid work model are offered, supporting both professional and personal growth.
AWS Data Platform Architect — Principal (Hybrid, London) employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Platform Architect — Principal (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your AWS projects and data engineering solutions. This will help you stand out during interviews and showcase your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your AWS knowledge and data pipeline design. Mock interviews with friends or using online platforms can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Principal Data Engineer role. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace AWS Data Platform Architect — Principal (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS expertise and experience in building cloud-based data pipelines. We want to see how your skills align with the needs of Tier 1 financial services clients.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Principal Data Engineer role. Share specific examples of your past projects and how they relate to the job description.
Showcase Collaboration Skills: Since this role involves working closely with clients, be sure to mention any experience you have in collaborative environments. We love seeing how you've successfully partnered with others to develop robust solutions.
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 about the hiring process!
How to prepare for a job interview at Capco
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data services like S3, Redshift, and Glue. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Showcase Your Data Pipeline Experience
Prepare specific examples of cloud-based data pipelines you've designed and deployed. Highlight the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Understand the Financial Services Landscape
Familiarise yourself with the Tier 1 financial services sector. Knowing the unique data challenges and regulatory requirements in this industry will show that you're not just technically skilled but also understand the business context.
✨Emphasise Collaboration Skills
Since the role involves working closely with clients, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with stakeholders to develop robust data engineering solutions.
