At a Glance
- Tasks: Build and optimise data infrastructure for advanced analytics and machine learning.
- Company: Fast-growing AI scale-up based in London, UK.
- Benefits: Remote work, competitive contract rate, and opportunity to work with cutting-edge technology.
- Other info: Exciting contract role with potential for career growth 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 50000 - 65000 £ 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 - SQL (Remote) 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 that drives advanced analytics and machine learning. 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 in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - SQL (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We recommend using GitHub to share your code and demonstrate your expertise in SQL, Python, and cloud platforms like AWS or GCP.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with scalable data processing solutions. We suggest practising common interview questions related to data engineering and machine learning.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like this one. Plus, we’re always on the lookout for talented individuals to join our community, so don’t miss out!
We think you need these skills to ace Data Engineer - SQL (Remote) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, 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 in AI and data engineering makes you a perfect fit for us.
Showcase Your Projects:If you've worked on any cool data projects, mention them! Whether it's building scalable data solutions or working with ML platforms, we love to see practical examples of your work.
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 the technologies mentioned in the job description, especially SQL and Python. Brush up on your experience with AWS or GCP, as well as any relevant data pipeline tools. 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, particularly around building scalable data processing solutions. Think of examples where you optimised data infrastructure or improved performance. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s AI Focus
Since the role is with an AI scale-up, it’s crucial to understand their products and how data engineering supports AI initiatives. Research their current projects and be ready to discuss how your skills can contribute to their goals. This shows genuine interest and alignment with their mission.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about their data platforms and team dynamics. Ask about their approach to machine learning workflows or how they handle large datasets. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
