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- Tasks: Join us as a Fullstack Engineer to build core features for our innovative AI platform.
- Company: Dataiku is a leading AI company, pioneering data accessibility since 2013 with a global team.
- Benefits: Enjoy flexible remote work options, a diverse culture, and opportunities for personal growth.
- Why this job: Be part of shaping the future of AI while tackling exciting engineering challenges in a fast-paced environment.
- Qualifications: Significant software engineering experience is required; all levels are welcome to apply.
- Other info: We value diversity and are committed to creating an inclusive workplace.
The predicted salary is between 28800 - 48000 £ per year.
At Dataiku, we’re not just adapting to the AI revolution, we’re leading it. Since our beginning in Paris in 2013, we’ve been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we’re the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you’ll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators.
How you’ll make an impact
This position is either onsite from Paris, London, Berlin, or remote from any of these countries. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
- Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. Add new capabilities for data integration, transformation, and visualization using LLMs. Optimize workflows for large-scale datasets and improve database support. Strengthen developer tools like Jupyter notebooks and SQL workbenches.
- Data Visualization: Elevate our data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance. Enhance dashboarding capabilities to deliver fast and flexible experiences.
- AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models. Collaborate with research teams on innovative machine learning experiments.
- MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models. Enhance collaboration features for ML stakeholders.
- Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing engines for scalability and latency. Expand capabilities to support new databases and cloud platforms.
- AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance. Simplify policy enforcement and integration across disparate systems.
What you need to be successful
We’re stack agnostic, so all you need is significant experience in software engineering, building a real product. We’re hiring at all levels (junior, mid, senior). A passion for combining backend performance with exceptional frontend user experience. You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale.
What does the hiring process look like?
- Initial call with a member of our Technical Recruiting team (45min)
- Video call with an Engineering Team Lead (1h30)
- Technical Assessment to show your skills (Home Test or Live Coding)
- Final Interviews with our VPs of Engineering (2h)
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!
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.
Contact Detail:
Gh Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer Fullstack - Core - Onsite or Remote (FR, UK, DE, NL)
✨Tip Number 1
Familiarise yourself with Dataiku's platform and its core features. Understanding their data preparation, visualisation, and AI capabilities will not only help you in interviews but also demonstrate your genuine interest in the company.
✨Tip Number 2
Brush up on your full-stack development skills, particularly in technologies relevant to Dataiku's stack. Being able to discuss your experience with both backend and frontend technologies will set you apart from other candidates.
✨Tip Number 3
Prepare for the technical assessment by practising coding challenges that focus on real-world problems. This will help you showcase your problem-solving skills and ability to write clean, efficient code during the interview process.
✨Tip Number 4
Engage with the Dataiku community through forums or social media. Networking with current employees or participating in discussions can provide valuable insights into the company culture and expectations, which can be beneficial during your interviews.
We think you need these skills to ace Software Engineer Fullstack - Core - Onsite or Remote (FR, UK, DE, NL)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Software Engineer Fullstack position at Dataiku. Familiarise yourself with their technology stack and the specific themes mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in software engineering, particularly in full-stack development. Emphasise any projects or roles that demonstrate your ability to work with data integration, visualisation, or AI technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and software engineering. Mention why you want to work at Dataiku specifically and how your skills align with their mission of making data actionable and accessible.
Prepare for Technical Assessment: Since the hiring process includes a technical assessment, brush up on your coding skills and be ready to demonstrate your knowledge in both backend and frontend technologies. Consider practicing common coding challenges and reviewing relevant frameworks.
How to prepare for a job interview at Gh Gruppe
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as LLMs, SQL, and data visualisation tools. Being able to discuss these technologies confidently will show your genuine interest and preparedness.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Dataiku values innovation, so demonstrating your ability to think critically and creatively will set you apart.
✨Prepare for Technical Assessments
Since there will be a technical assessment, practice coding problems relevant to full-stack development. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with live coding scenarios.
✨Emphasise Collaboration
Dataiku values teamwork and collaboration. Be ready to share examples of how you've worked effectively in teams, especially in cross-functional settings. Highlighting your communication skills will resonate well with the interviewers.
