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For Companies At a Glance
- Tasks: Design and develop AI-driven applications that solve real business problems.
- Company: Join Dataiku, a leader in the AI revolution since 2013, with a global team of innovators.
- Benefits: Enjoy remote work options, collaborative culture, and opportunities for personal growth.
- Why this job: Be part of shaping everyday AI while working with cutting-edge technologies and diverse teams.
- Qualifications: Experience in full-stack development, especially with Python and modern front-end frameworks.
- Other info: Inclusive workplace committed to diversity and equal opportunity for all.
The predicted salary is between 28800 - 48000 £ per year.
At Dataiku, we are leading the AI revolution with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries, we enable data experts and domain experts to work together to build AI into their daily operations.
In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need user-focused UIs and flows.
How you’ll make an impact
- Build Innovative AI-Driven Applications: Design, develop, and deploy AI-powered applications that solve complex business problems, integrating Dataiku’s backend AI capabilities with user-centric, intuitive front-end interfaces.
- Work with Data Scientists and Industry Specialists: Collaborate with solutions engineers, data scientists, and industry experts to develop the best solutions for customers.
- Drive Continuous Improvement: Take responsibility for the end-to-end lifecycle of applications—from PoC to production.
- Collaborate Across Teams: Work closely with core teams to ensure high-quality, reusable components.
- Contribute to Team Growth: Help mentor new team members and contribute to onboarding processes.
What you’ll need to be successful
- Full-Stack Development Experience: Experience in full-stack software engineering, comfortable working across the stack.
- Front-End Skills: Proficiency in modern reactive front-end frameworks like Vue.js, React, or Angular.
- Back-End Skills: Strong experience with backend development, especially with Python.
- Experience with Data-Intensive Applications: Understanding of challenges with large datasets and designing high-performance applications.
- Customer-Oriented Mindset: Focus on solving real-world problems for customers.
- Curiosity: Excited to learn, adapt, and take on new challenges.
- Tech Enthusiast: Passionate about AI and data-driven applications.
What does the hiring process look like?
- 45 min call with a Technical Recruiter
- Technical video interview with an Engineering Team Lead
- Take home assignment or Live Coding session
- 2 last interviews with VPs of Engineering
At Dataiku, you will be part of a journey to shape the ever-evolving world of AI. We are proud to be an equal opportunity employer, treating everyone with dignity, decency, and fairness.
Fullstack Software Engineer - Business Solutions employer: Agrisano Unternehmungen
Contact Detail:
Agrisano Unternehmungen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fullstack Software Engineer - Business Solutions
✨Tip Number 1
Familiarise yourself with Dataiku's platform and its capabilities. Understanding how their AI-driven applications work will give you an edge during interviews, as you'll be able to discuss how your skills can directly contribute to their projects.
✨Tip Number 2
Showcase your experience with full-stack development by preparing examples of past projects where you've taken applications from PoC to production. Be ready to discuss the challenges you faced and how you overcame them, particularly in data-intensive environments.
✨Tip Number 3
Highlight your proficiency in modern front-end frameworks like Vue.js or React. Consider building a small project or demo that showcases your skills in creating user-centric interfaces, as this could serve as a great talking point during technical interviews.
✨Tip Number 4
Prepare to discuss your customer-oriented mindset. Think of specific instances where you've gathered user feedback to improve a product, as this aligns well with Dataiku's focus on solving real-world problems for customers.
We think you need these skills to ace Fullstack Software Engineer - Business Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full-stack development experience, particularly with the technologies mentioned in the job description, such as Python and modern front-end frameworks like Vue.js. Use specific examples of projects where you've taken an app from PoC to production.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data-driven applications. Mention how your skills align with Dataiku's mission and how you can contribute to building innovative AI-driven applications that solve complex business problems.
Showcase Relevant Projects: Include links to your portfolio or GitHub repository showcasing relevant projects. Highlight any experience with data-intensive applications or analytics products, as this will demonstrate your capability to handle the challenges outlined in the job description.
Prepare for Technical Interviews: Brush up on your technical skills, especially in full-stack development and RESTful API design. Be ready to discuss your previous work experiences in detail, focusing on how you collaborated with teams and contributed to project success.
How to prepare for a job interview at Agrisano Unternehmungen
✨Showcase Your Full-Stack Experience
Be prepared to discuss your full-stack development experience in detail. Highlight specific projects where you took an application from proof of concept to production, and be ready to explain the technologies you used and the challenges you faced.
✨Demonstrate Front-End Proficiency
Since the role requires proficiency in modern front-end frameworks like Vue.js, React, or Angular, make sure to showcase your skills in these areas. Bring examples of user-centric applications you've built and be ready to discuss your approach to creating interactive web interfaces.
✨Understand Data-Intensive Applications
Familiarise yourself with the challenges of working with large datasets. Be prepared to discuss your experience with data-driven applications and how you've optimised performance in previous roles, as this is crucial for the position.
✨Emphasise Your Customer-Oriented Mindset
Dataiku values a customer-oriented approach, so be ready to share examples of how you've solved real-world problems for users. Discuss how you gather feedback and iterate on solutions to ensure they meet customer needs effectively.
