At a Glance
- Tasks: Build and maintain data lakes, warehouses, and real-time processing systems.
- Company: Join Ophelos, a forward-thinking company in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation.
- Why this job: Work with cutting-edge AI technologies and make a real impact.
- Qualifications: Experience in data engineering and proficiency in JavaScript/React.
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.
How We Work
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 and technology intersect. Join us to be part of a forward-thinking team that values your contributions and supports your growth in the ever-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 on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data lakes and real-time processing systems. 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. We recommend practising common interview questions related to full-stack development and data architecture.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 relevant projects!
Showcase Your Tech Skills:When writing your application, emphasise your proficiency in JavaScript/React and any workflow automation tools like Windmill. We love seeing candidates who can demonstrate their technical prowess and how they’ve used these tools in past roles.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the AI Automation & Data Engineer position!
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 shows you’re keen on joining our team!
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 real-time processing systems, so you can confidently discuss your experience and how it relates to the role.
✨Showcase Your AI Knowledge
Familiarise yourself with modern AI technologies such as RAG, agentic AI, and vector databases. Be prepared to discuss how you've leveraged AI coding assistants in your previous projects. This will demonstrate your ability to adapt and innovate in a rapidly evolving field.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially related to designing scalable data architectures. Think of specific examples from your past work where you tackled challenges involving structured and unstructured data, and be ready to explain your thought process.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects involving data visualisation or automation tools, or how they see AI evolving in their infrastructure. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
