At a Glance
- Tasks: Build and maintain data lakes and develop React-based frontends for automation tools.
- Company: Join Ophelos, a forward-thinking company in the heart of London.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for growth.
- Other info: Be part of a dynamic team with a focus on cutting-edge solutions.
- Why this job: Dive into AI technologies and make a real impact on innovative projects.
- Qualifications: Experience in data engineering and proficiency in JavaScript/React required.
The predicted salary is between 60000 - 80000 € per year.
Infrastructure and Development Responsibilities
- Build and maintain data lakes, warehouses, and real-time processing systems.
- Develop React-based frontends for data visualization and automation tools.
- Leverage AI coding assistants for rapid prototyping and understanding of modern AI technologies such as RAG, agentic AI, MCP, and vector databases.
- Proficient in workflow automation tools like Windmill and full-stack technologies like JavaScript/React.
- Skilled in designing scalable data architectures and working with both structured and unstructured data.
AI Automation & Data Engineer in London - Ophelos employer: Java Script Works
At Ophelos, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles as AI Automation & Data Engineers. Located in the vibrant city of London, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where creativity thrives. Join us to be part of a forward-thinking team that values your contributions and supports your growth in the rapidly evolving field of AI and data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation & Data Engineer in London - Ophelos
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data lakes, real-time processing, or React-based frontends. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI technologies and workflow automation tools. Be ready to discuss how you've used these in past projects or how you'd approach new challenges.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Automation & Data Engineer in London - Ophelos
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data lakes, warehouses, and real-time processing systems. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in JavaScript/React and workflow automation tools!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technologies and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building scalable data architectures or developing automation tools, we want to know what you've done and how it relates to the job.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Java Script Works
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, JavaScript, and workflow automation tools. Brush up on your knowledge of data lakes and warehouses, as well as modern AI technologies. Being able to discuss these confidently will show that you're a great fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or maintained data systems. Highlight any experience with real-time processing or data visualisation tools. If you’ve used AI coding assistants or worked with vector databases, share those experiences too—they’ll demonstrate your hands-on skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and data engineering. Inquire about their current projects or challenges they face in building scalable architectures. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Problem-Solving
Expect technical questions or case studies during the interview. Practice solving problems related to data architecture and automation workflows. You might be asked to design a system on the spot, so being comfortable with these scenarios will help you shine during the interview.
