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 dynamic culture.
- Benefits: Remote work, competitive contract rates, and opportunities to work with cutting-edge technology.
- Other info: Exciting projects with excellent growth potential in a collaborative environment.
- Why this job: Join a team shaping the future of AI and make a real impact.
- 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 (f/m) 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, we offer a vibrant work culture that fosters professional growth and provides access to 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 (f/m)
✨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 best 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’ve got 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 (f/m)
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 passionate about data engineering and how you can contribute to our AI products. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects involving AWS or GCP, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to 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’re considered for this exciting opportunity with our fast-growing AI scale-up!
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 be ready to discuss how you've built scalable solutions in the past. This will show that you’re not just familiar with the tools, but you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Think about times when you optimised a data pipeline or managed large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s AI Vision
Research the company’s AI products and their approach to intelligent automation. Being able to discuss how your role as a Data Engineer fits into their broader goals will demonstrate your genuine interest and alignment with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data infrastructure they currently use, and their future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
