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 exposure to cutting-edge AI technologies.
- Other info: Exciting opportunity to work on innovative projects in a collaborative environment.
- 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
Senior Engineer, Data Engineering employer: XpertDirect
As a fast-growing AI scale-up based in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on cutting-edge projects in data engineering and machine learning. Our remote work flexibility ensures a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨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. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills in data engineering. Plus, applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace Senior Engineer, Data Engineering
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! Tell us 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 processing solutions or ML platforms, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to scalable data infrastructure.
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 experience with data pipelines and scalable solutions, as these will likely be hot topics during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or optimised data infrastructure. Highlight your role in designing data pipelines and managing large datasets, as this will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s AI Focus
Research the company’s AI products and how they leverage data engineering. Being able to connect your skills to their specific needs will show that you’re not just a fit for the role, but also genuinely interested in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about their data architecture, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
