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 hours, and opportunity to work on cutting-edge AI projects.
- Other info: Exciting opportunity to work on innovative data-driven products in a supportive environment.
- Why this job: Join a dynamic team and shape the future of AI with your data engineering skills.
- Qualifications: 4+ years in data engineering with experience 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
Data Engineer Con Spark/Scala (Remoto) in London 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 AI and data engineering. Our remote work flexibility ensures a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) in London
✨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 data pipelines and projects you've worked on. This is your chance to demonstrate your expertise in Python, SQL, and cloud platforms like AWS or GCP.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with scalable data processing solutions and machine learning platforms. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, we’re always on the lookout for talented individuals like you to join our community.
We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, especially with Python, SQL, and building data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in AI products and data platforms makes you a perfect fit. We love seeing passion and personality!
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to mention them! Whether it's optimising data infrastructure or working with ML platforms, we want to know what you've done and how it relates to our needs.
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 keen to join 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, like Python, SQL, and cloud platforms like AWS or GCP. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you optimised data infrastructure or built scalable solutions, and be ready to explain your thought process and the impact of your work.
✨Understand the Company’s AI Focus
Since the role is with a fast-growing AI scale-up, do some research on their products and how they leverage data for machine learning and automation. This will help you align your answers with their goals and show that you're genuinely interested in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data challenges they face, and how they measure success in their projects. This not only shows your interest but also helps you gauge if the company culture and role are the right fit for you.
