At a Glance
- Tasks: Design and build data architectures using AWS services for exciting projects.
- Company: Strategic AI partner based in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative environment await you.
- Why this job: Join a dynamic team and tackle complex data challenges for Fortune 500 clients.
- Qualifications: 6+ years of experience with AWS Glue and strong data solutions knowledge.
The predicted salary is between 48000 - 72000 £ per year.
A strategic AI partner based in London is looking for an AWS Data Engineer to join their hybrid team. The ideal candidate will have over 6 years of experience, especially with AWS Glue and a strong understanding of data solutions.
Key responsibilities include:
- Designing and building data architectures using AWS services
- Mentoring other engineers
- Collaborating on innovative solutions for Fortune 500 clients
If you thrive in a dynamic environment and enjoy tackling complex data challenges, this is the opportunity for you.
AWS Data Engineer — Hybrid London, 12‑Month FTC employer: BlackCube Labs
Join a forward-thinking strategic AI partner in London, where innovation meets collaboration. As an AWS Data Engineer, you'll benefit from a dynamic work culture that fosters creativity and professional growth, with opportunities to mentor fellow engineers and work on impactful projects for Fortune 500 clients. Enjoy the flexibility of a hybrid work model while being part of a team that values your expertise and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer — Hybrid London, 12‑Month FTC
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or data engineering. 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 projects, especially those involving AWS Glue and data architectures. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS scenarios and data challenges. Practice explaining your thought process and solutions clearly, as communication is key when collaborating with teams on complex projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles tailored to your skills.
We think you need these skills to ace AWS Data Engineer — Hybrid London, 12‑Month FTC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS Glue and data solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our team. Let us know what makes you tick!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex data challenges in the past. We love seeing innovative solutions, especially if they’ve made a real impact on your previous projects.
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 our team!
How to prepare for a job interview at BlackCube Labs
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially AWS Glue. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role. Prepare specific examples that showcase your experience with data architectures.
✨Showcase Your Mentoring Skills
Since mentoring is part of the job, think about times when you've helped others grow in their roles. Be prepared to share these experiences and how you approach mentoring. This will demonstrate your leadership qualities and ability to collaborate effectively.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex data challenges during the interview. Practice articulating your thought process when solving problems, and consider using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your analytical skills clearly.
✨Research the Company and Its Clients
Familiarise yourself with the company’s mission and the types of clients they work with, especially Fortune 500 companies. Understanding their business model and recent projects can give you an edge and show your genuine interest in the role.
