At a Glance
- Tasks: Build and optimise data infrastructure 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 opportunity 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 make an impact in the AI and data engineering space.
- Qualifications: 4+ years in data engineering with skills 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 Dei Dati employer: XpertDirect
Join a dynamic and innovative AI scale-up in London, where your contributions as a Data Engineer will directly impact the development of cutting-edge data-driven products. With a strong emphasis on collaboration and continuous learning, the company fosters a vibrant work culture that encourages professional growth and offers opportunities to work with the latest technologies in data engineering. Enjoy the flexibility of remote work while being part of a forward-thinking team dedicated to pushing the boundaries of AI and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati
✨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 that aren't even advertised yet.
✨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
Prepare for technical interviews by brushing up on your knowledge of AWS or GCP. Practice common data engineering problems and be ready to discuss your experience with scalable data processing solutions. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Ingegnere Dei Dati
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! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our AI products. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building scalable solutions or working with ML platforms.
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 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 challenges you faced and how you overcame them, especially in relation to machine learning workflows or vector databases. Real-world examples will make you stand out!
✨Understand the Company’s Products
Research the AI products that the company offers. Understanding their data infrastructure and how it supports advanced analytics will help you tailor your answers and show that you’re genuinely interested in their work.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the data challenges they face, or their future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
