At a Glance
- Tasks: Design and develop AI-driven applications that solve real business problems.
- Company: Join Dataiku, a leader in AI technology, empowering businesses with innovative solutions.
- Benefits: Enjoy remote work options, a collaborative culture, and opportunities for personal growth.
- Why this job: Be part of shaping the future of AI while working with cutting-edge technologies.
- Qualifications: Experience in full-stack development, especially with Python and modern front-end frameworks.
- Other info: Diversity and inclusion are core values; we welcome unique perspectives.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need their own, user-focused UIs and flows. We do this for customers in verticals such as Manufacturing, Life Sciences and Finance, powering key processes within their business- and operating models. In short: our work truly is part of “everyday AI”!
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. Help define requirements and deliver state-of-the-art applications that meet user needs across different verticals such as finance, manufacturing, and life sciences.
- Drive Continuous Improvement: Take responsibility for the end-to-end lifecycle of applications—from PoC to production. Contribute to the maintenance and evolution of the tech stack and frameworks, and support new features and architecture improvements to ensure scalability and reliability.
- Collaborate Across Teams: Work closely with core teams to ensure high-quality, reusable components, provide best practices, and help make data scientists and business users autonomous in building solutions end-to-end.
- Contribute to Team Growth: Help mentor new team members, participate in interviews, and contribute to onboarding processes. Bring your expertise and enthusiasm to help grow a collaborative, inclusive, and innovative team culture.
What you’ll need to be successful
- Full-Stack Development Experience: You have experience in full-stack software engineering, with experience taking an app from PoC to production. You are comfortable working across the stack—from the front-end user interface to the back-end infrastructure.
- Front-End Skills: Proficiency in modern reactive front-end frameworks like Vue.js (preferred), React, or Angular. You have a deep understanding of building user-centric, interactive web applications.
- Back-End Skills: Strong experience with backend development, especially with Python (FastAPI, Flask, etc.). You are familiar with RESTful API design and willing to adapt to Dataiku’s tech stack and best practices.
- Experience with Data-Intensive Applications: You understand the challenges of working with large datasets and designing high-performance, data-driven applications. Experience with analytics products or data platforms is a strong plus.
- Customer-Oriented Mindset: You have a strong focus on solving real-world problems for customers. You understand that building an effective product means diving deep into customer use cases, iterating based on feedback, and delivering the most relevant and efficient solutions.
- Curiosity: You are excited to learn, adapt, and take on new challenges. Whether it’s discussing architecture, troubleshooting issues, or writing code, you are driven to make an impact and contribute to the team’s success.
- Tech Enthusiast: You’re genuinely passionate about AI and data-driven applications. You’re excited by the possibility of using cutting-edge AI technologies, like LLMs, to shape the future of business.
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’ll be part of a journey to shape the ever-evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku!
Fullstack Software Engineer - Business Solutions employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
reasonable-accommodations@dataiku.com
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
Network with current employees or alumni who have worked at Dataiku. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your discussions.
✨Tip Number 3
Prepare for technical interviews by brushing up on full-stack development concepts, especially focusing on Python frameworks like FastAPI and Flask. Practising coding challenges related to these technologies can help you feel more confident during the live coding session.
✨Tip Number 4
Showcase your passion for AI and data-driven applications in your conversations. Discuss any personal projects or contributions to open-source communities that demonstrate your enthusiasm and commitment to continuous learning in this field.
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 front-end frameworks like Vue.js and back-end technologies such as Python. Emphasise any relevant projects that showcase your ability to take applications from PoC to production.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data-driven applications. Mention specific experiences where you've collaborated with teams to solve complex business problems, and how you can contribute to Dataiku's mission of building innovative AI-driven applications.
Showcase Relevant Projects: Include links to your GitHub or portfolio showcasing projects that demonstrate your skills in building user-centric applications. Highlight any experience with data-intensive applications or analytics products, as this aligns well with the role.
Prepare for Technical Questions: Anticipate technical questions related to full-stack development, RESTful API design, and your experience with large datasets. Be ready to discuss your problem-solving approach and how you’ve iterated on feedback in past projects.
How to prepare for a job interview at Dataiku
✨Showcase Your Full-Stack Experience
Be prepared to discuss your experience in full-stack development. Highlight specific projects where you took an application from proof of concept to production, detailing the technologies used and your role in the process.
✨Demonstrate Front-End Proficiency
Since the role requires modern front-end frameworks, brush up on your skills with Vue.js, React, or Angular. Be ready to explain how you've built user-centric applications and any challenges you faced while doing so.
✨Understand Data-Intensive Applications
Familiarise yourself with the challenges of working with large datasets. Prepare to discuss your experience with data-driven applications and how you've optimised performance in previous roles.
✨Emphasise Collaboration and Customer Focus
Dataiku values teamwork and a customer-oriented mindset. Be ready to share examples of how you've collaborated with cross-functional teams and how you've incorporated customer feedback into your projects.