Dataiku
Fullstack Software Engineer - Core

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Dataiku is the Platform for AI Success
The enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
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. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you can preview what we do at Dataiku:
- Dataiku's Key Capabilities
- Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
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
Tech stack: Java, Python, AngularJS, Angular
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS
Data Consumption
- Build the experience that makes data accessible and actionable for everyone.
- Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
- Create innovative interfaces that answer business questions and surface relevant insights using LLMs
Tech stack: Angular, AngularJS, Java, Python
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
Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
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
Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
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
Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
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
Tech stack: Java, Angular, PostgreSQL
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


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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)
#LI-Remote
What are you waiting for!
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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
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. All employment 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 aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion, and termination, and all other conditions and terms of employment.
If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com.
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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