At a Glance
- Tasks: Build and optimise data infrastructure for advanced analytics and machine learning.
- Company: Fast-growing AI scale-up based in London, UK.
- Benefits: Remote work, competitive contract rate, and opportunity to work with cutting-edge technology.
- Other info: Exciting opportunity to work on scalable data solutions in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of AI-driven products.
- Qualifications: 4+ years in data engineering with skills in Python, SQL, and AWS or GCP.
The predicted salary is between 60000 - 80000 £ per year.
For one of our clients, a fast-growing AI scale-up based in London, we are looking for a Data Engineer on a contract basis to help build and optimise the data infrastructure powering advanced analytics, machine learning workflows, and intelligent automation platforms.
You will play a key role in designing scalable data pipelines, managing large datasets, and enabling engineering and AI teams to deliver high-performance data-driven products.
- Python
- SQL
- Data pipelines
- AWS or GCP
4+ years in data engineering
Experience building reliable and scalable data processing solutions
ML platform exposure
Vector databases
Data Engineer con AWS - REMOTO in London employer: XpertDirect
Join a dynamic and innovative AI scale-up based in London, where you will be at the forefront of cutting-edge technology and data engineering. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development while working remotely. Enjoy the flexibility of remote work alongside a team dedicated to pushing the boundaries of AI and data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer con AWS - REMOTO in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS or GCP. 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 data pipelines and any projects you've worked on. This is your chance to demonstrate your expertise in Python, SQL, and building scalable solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of machine learning platforms and vector databases. We recommend practicing common data engineering problems to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about landing that Data Engineer gig!
We think you need these skills to ace Data Engineer con AWS - REMOTO in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your 4+ years in data engineering!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working with AI products and how your background in AWS or GCP can contribute to our team. Keep it engaging and personal!
Showcase Relevant Projects:If you've worked on any projects involving machine learning workflows or scalable data processing solutions, make sure to mention them. We love seeing real-world applications of your skills!
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 XpertDirect
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS or GCP. Brush up on your knowledge of data pipelines and how they work, as well as any experience you have with machine learning platforms and vector databases. Being able to discuss these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you had to optimise data infrastructure or build scalable solutions. This will demonstrate your ability to tackle real-world problems, which is crucial for a Data Engineer.
✨Understand the Company’s Vision
Research the company’s AI products and their impact on the industry. Knowing their goals and how your role as a Data Engineer fits into their vision will help you articulate why you want to work there and how you can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data challenges they face, and how they measure success in their projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
