At a Glance
- Tasks: Design and optimise data pipelines for advanced analytics and machine learning.
- Company: Fast-growing AI scale-up based in London, offering remote work.
- Benefits: 12+ month contract with competitive pay and flexible working conditions.
- Other info: Exciting opportunity to work on cutting-edge technology 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 cloud platforms.
The predicted salary is between 50000 - 70000 £ 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 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 building cutting-edge data infrastructure. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development while working remotely. Enjoy the flexibility of remote work combined with the excitement of contributing to transformative AI products that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 machine learning platforms to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you would design scalable solutions and manage large datasets. Practising your answers will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer 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 relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Data Engineer position and how your background in AWS or GCP can contribute to our AI products. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building scalable data processing 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 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 the cloud platforms like 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 ready 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 think critically and adapt in a fast-paced environment.
✨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 join their team. It shows genuine interest and can set you apart from other candidates.
✨Prepare Questions
Have a few insightful questions ready to ask at the end of the interview. This could be about their data strategy, team dynamics, or future projects. It not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
