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For Companies At a Glance
- Tasks: Develop and enhance a SaaS portal for an intuitive user experience.
- Company: Join Dataiku, a leader in AI technology and innovation.
- Benefits: Flexible remote work, competitive salary, and growth opportunities.
- Why this job: Make a real impact in the AI space with cutting-edge tech.
- Qualifications: Experience in software engineering with languages like Python or Java.
- Other info: Dynamic team culture focused on collaboration and problem-solving.
The predicted salary is between 30000 - 50000 ÂŁ per year.
About Dataiku
Dataiku is the Universal AI Platform, enabling organizations to control their AI talent, processes, and technologies to create analytics, models, and agents. It offers no-code, low-code, and full-code capabilities that allow teams to build AI solutions using existing skills.
Why Engineering at Dataiku?
Dataiku’s platform supports on‑premise, cloud, and SaaS deployments and integrates a wide range of data science tools. The technology stack reflects our commitment to quality and innovation, from the latest large language models to open‑source communities. Working here gives you the chance to build with cutting‑edge technologies and contribute to global tech innovation.
Read more about our engineering culture and opportunities here.
This role is available onsite in Paris, London, Berlin, Amsterdam, or remote from those countries.
How You’ll Make An Impact
As a member of Dataiku’s engineering teams, you will tackle diverse challenges across back‑end and front‑end development. Your work will support the Dataiku Cloud SaaS offering, managing DSS instances, user access, and data source integration.
Role
The role involves actively designing and implementing a SaaS portal that manages the controlled‑service offering. Typical responsibilities include:
- Develop new features to deliver an intuitive user experience for DSS in the online environment.
- Improve installation and lifecycle management of DSS instances on our infrastructure.
- Enhance code quality to achieve high availability and low latency for the platform.
- Collaborate with other Dataiku services to create a more personalized experience for Cloud users.
- Work with Python (Flask) for backend and VueJS for frontend technology.
What You Need To Be Successful
- Strong software engineering experience with at least one language such as Java, Python, Scala, Node.js, or others.
- Experience across all experience levels (junior, mid, senior) is welcomed.
- Knowledge of distributed systems, cloud platforms, and modern data architectures.
- A collaborative mindset and passion for solving complex problems that improve user experience.
- A focus on code simplicity, performance, and maintainability.
- Thrives in a fast, high‑growth environment that respects engineers and customers.
Hiring Process
- 45‑minute call with a Technical Recruiter.
- Technical video interview with an Engineering Team Lead.
- Take‑home assignment or live coding session.
- Two closing interviews with Vice Presidents of Engineering.
Join Us
At Dataiku, you’ll help shape the future of AI. If you’re ready to make a significant impact in a culture of innovation, collaboration, and growth, we’re excited to welcome you. Learn more about our LinkedIn page for additional information.
EEO Statement
Our hiring practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other protected characteristic. Employment decisions are made fairly and consistently, regardless of any of these factors. For assistance or accommodations, request at reasonable-accommodations@dataiku.com.
Fraud Reminder
Dataiku will never ask for payment. If you encounter suspicious activity, review our protection page.
Job Details
- SENIORITY LEVEL: Entry level
- EMPLOYMENT TYPE: Full‑time
- JOB FUNCTION: Engineering and Information Technology
- INDUSTRIES: Software Development
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Fullstack Software Engineer - Dataiku Cloud - Onsite or Remote (FR, UK, DE, NL) employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fullstack Software Engineer - Dataiku Cloud - Onsite or Remote (FR, UK, DE, NL)
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Dataiku. LinkedIn is a great place to start. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews like a pro! Research common technical questions related to fullstack development and brush up on your Python and VueJS skills. Practising coding challenges can really help you shine.
✨Tip Number 3
Show off your projects! If you've built anything cool, whether it's a personal project or something from a previous job, be ready to discuss it. It’s a great way to demonstrate your skills and passion for software engineering.
✨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, it shows you’re genuinely interested in joining the Dataiku team.
We think you need these skills to ace Fullstack Software Engineer - Dataiku Cloud - Onsite or Remote (FR, UK, DE, NL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Fullstack Software Engineer role. Highlight your experience with Python, Flask, and VueJS, as well as any work with cloud platforms or distributed systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to Dataiku's mission. Share specific examples of past projects that demonstrate your problem-solving skills and collaborative mindset.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your coding skills and how you've tackled complex challenges.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Dataiku
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python (Flask) and VueJS. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in your previous roles. Dataiku values a collaborative mindset, so highlight instances where you worked with others to enhance user experience or improve code quality.
✨Understand SaaS and Cloud Concepts
Brush up on your knowledge of SaaS platforms and cloud technologies. Be prepared to discuss how you would approach managing DSS instances and user access in a cloud environment, as this is a key part of the role.
✨Practice Coding Challenges
Since there’s a technical interview involved, practice coding challenges that focus on backend and frontend development. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with live coding scenarios.
