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 focus on innovation.
- Benefits: Remote work, competitive pay, and opportunities to work with cutting-edge technology.
- Other info: Exciting contract role with potential for career advancement in a thriving industry.
- 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 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
IT Data Architect in London employer: XpertDirect
Join a dynamic and innovative AI scale-up in London, where you will be at the forefront of transforming data into actionable insights. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development and advancement in the rapidly evolving field of data engineering. With a focus on cutting-edge technology and a commitment to employee well-being, we provide a supportive environment that values your contributions and encourages you to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI and data engineering. A friendly chat can lead to opportunities 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 interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS or GCP, and how you've built scalable data processing solutions in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Let’s get you that dream job!
We think you need these skills to ace IT Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, especially in Python and SQL. 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 passionate about data engineering and how your background makes you a perfect fit for our AI products. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data pipelines or machine learning projects, make sure to mention them! We’re keen to see real-world examples of your work that demonstrate your ability to build scalable 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. Plus, it shows you’re serious about joining 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 mentioned, like AWS or GCP. Brush up on your knowledge of data pipelines and vector databases, as these are crucial for the role. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around building scalable data processing solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Understand the Company’s Vision
Research the company’s AI products and their approach to data engineering. Knowing their goals and how your skills can contribute to their success will show that you’re genuinely interested in the position and ready to be a part of their journey.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the data infrastructure they currently have, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to demonstrate your knowledge about the industry.
