At a Glance
- Tasks: Design and optimise data pipelines for advanced analytics and machine learning.
- Company: Fast-growing AI scale-up based in London with a remote work culture.
- Benefits: Competitive contract rate, flexible working hours, and opportunities to work on cutting-edge AI projects.
- Other info: Exciting opportunity to work with innovative technologies and grow your career.
- Why this job: Join a dynamic team and shape the future of AI with your data engineering skills.
- Qualifications: 4+ years in data engineering, proficient in Python, SQL, and cloud platforms.
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
Ingegnere Dati 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 and advancement in the rapidly evolving field of data engineering. Enjoy the flexibility of remote work while contributing to impactful projects that drive intelligent automation and advanced analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AI products. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay updated on industry trends! Follow blogs, podcasts, and forums related to data engineering and AI. This knowledge can help you during interviews and show that you're passionate about the field.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities for Data Engineers like you. It’s a great way to get noticed and land that dream job in a fast-growing AI scale-up.
We think you need these skills to ace Ingegnere Dati 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 relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our fast-growing AI scale-up.
Showcase Your Technical Skills:Don’t forget to mention your experience with AWS or GCP, as well as any exposure to machine learning platforms. We love seeing candidates who can demonstrate their technical prowess in their applications!
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 with 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 you’ll likely be asked to discuss your experience with these technologies during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built scalable data processing solutions. Highlight any experience with machine learning platforms and vector databases, as this will demonstrate your hands-on expertise and problem-solving skills.
✨Understand the Company’s Vision
Research the company’s AI products and their approach to data engineering. Understanding their goals and challenges will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data infrastructure they currently have, and how they envision the role evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.
