At a Glance
- Tasks: Build and maintain data lakes, warehouses, and real-time processing systems.
- Company: Join a forward-thinking tech company focused on AI and automation.
- Benefits: Competitive salary, flexible hours, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Work with cutting-edge AI technologies and create impactful data solutions.
- Qualifications: Experience in JavaScript/React and workflow automation tools.
The predicted salary is between 50000 - 70000 € 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 Data & Automation Engineer - Real-Time Data & React UIs employer: Java Script Works
As an AI Data & Automation Engineer, you will thrive in a dynamic and innovative environment that champions cutting-edge technology and fosters collaboration. Our company prioritises employee growth through continuous learning opportunities and a supportive work culture that values creativity and initiative. Located in a vibrant tech hub, we offer unique advantages such as access to industry-leading resources and a network of like-minded professionals, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data & Automation Engineer - Real-Time Data & React UIs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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, and React UIs. This gives employers a taste of what you can do and sets you apart from the crowd.
✨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, as it shows you're not just familiar but also experienced.
✨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 Data & Automation Engineer - Real-Time Data & React UIs
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with data lakes, real-time processing systems, and React-based frontends. We want to see how you’ve used these technologies in your past projects!
Be Specific About Your Experience:When discussing your skills, be specific about the tools you've used, like Windmill for workflow automation or any AI coding assistants. This helps us understand your hands-on experience better.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the responsibilities and skills mentioned in the job description. We love seeing candidates who take the time to connect their experience 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’re considered for the role. Plus, it’s super easy!
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, especially React and JavaScript. Brush up on your knowledge of data lakes, warehouses, and real-time processing systems, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, particularly those involving AI coding assistants or workflow automation tools like Windmill. Be ready to explain your thought process and the impact of your work on the project outcomes.
✨Understand the Company’s Needs
Research the company’s current projects and challenges related to data architecture and automation. This will help you tailor your answers to demonstrate how your skills can directly benefit their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s approach to building scalable data architectures and how they leverage modern AI technologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
