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- Tasks: Join us as a Fullstack Engineer to build core features for our AI platform.
- Company: Dataiku is a pioneering AI company based in Paris, with over 1,000 teammates globally.
- Benefits: Enjoy flexible working options, including remote work and a vibrant team culture.
- Why this job: Be part of shaping the future of AI while tackling exciting engineering challenges.
- Qualifications: Significant software engineering experience is required; all levels are welcome to apply.
- Other info: Collaborate with global tech innovators and contribute to cutting-edge AI technologies.
The predicted salary is between 28800 - 48000 £ per year.
At Dataiku, we are not just adapting to the AI revolution, we are leading it. Since our beginning in Paris in 2013, we have 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 are 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.
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 will work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. Our product is called Dataiku DSS which stands for Dataiku Data Science Studio.
This position is either onsite/hybrid from our London office or full remote from any part of the UK. As a Fullstack Engineer, you will 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.
We are stack agnostic, so all you need is significant experience in software engineering, building a real product. We are hiring at all levels (junior, mid, senior). A passion for combining backend performance with exceptional frontend user experience is essential. 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.
The hiring process includes an initial call with a member of our Technical Recruiting team (45min), a video call with an Engineering Team Lead (1h30), a Technical Assessment to show your skills (Home Test or Live Coding), and final interviews with our VPs of Engineering (2h).
If you are 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 - Core employer: Gh Gruppe
Contact Detail:
Gh Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fullstack Software Engineer - Core
✨Tip Number 1
Familiarise yourself with Dataiku's platform, especially Dataiku DSS. Understanding its core features and how it integrates various data science technologies will give you an edge during interviews.
✨Tip Number 2
Brush up on your full-stack development skills, particularly in the areas of data preparation, visualisation, and AI/ML. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 3
Prepare for the technical assessment by practising coding challenges that focus on both backend and frontend development. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Showcase your passion for AI and machine learning during interviews. Discuss any relevant projects or experiences that highlight your ability to innovate and collaborate in a fast-paced environment.
We think you need these skills to ace Fullstack Software Engineer - Core
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Fullstack Software Engineer 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 focusing on backend and frontend development. Emphasise any projects or roles that align with Dataiku's focus on AI, data preparation, and visualisation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and software engineering. Mention specific technologies you’ve worked with that relate to the role and express your enthusiasm for contributing to Dataiku’s mission of making data actionable.
Prepare for Technical Assessment: Anticipate the technical assessment by brushing up on relevant coding skills and concepts. Practice coding challenges that reflect the type of work you would be doing at Dataiku, especially in areas like data integration and machine learning.
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, Jupyter notebooks, and SQL workbenches. Being able to discuss how you've used similar tools in your past projects will show your technical competence.
✨Showcase Your Passion for AI
Dataiku is at the forefront of the AI revolution, so express your enthusiasm for AI and machine learning. Share any relevant projects or experiences that highlight your interest and understanding of these fields.
✨Prepare for Technical Assessments
Expect a technical assessment as part of the interview process. Brush up on coding skills and be ready to solve problems live or through a home test. Practising common algorithms and data structures can be beneficial.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, highlight your experience in collaborative environments. Discuss how you’ve successfully worked with others to achieve project goals, especially in fast-paced settings.
