Dataiku

Company Name: Dataiku
Job Title: Fullstack Software Engineer - Dataiku Cloud - Onsite or Remote (FR, UK, DE, NL)
Job Description: 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. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you 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

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries.

At Dataiku, our engineering teams are cross-functional and tackle diverse challenges across back-end and front-end development. Your work will help build and operate Dataiku Cloud, the Dataiku SaaS offering based on Dataiku's core product. This team consists of a cloud infrastructure and a launchpad, where users can manage their DSS instance(s), invite users to contribute, set up some data sources and manage the Dataiku subscription.

Role

The role consists in actively participating in the design and implementation of a SaaS portal associated with the managed service offering. Here are some examples of what you might do:

Develop new features to provide the smoothest experience for users so that they can benefit the power of DSS in a few clicks on the online environment.
Ease installation and lifecycle management of the DSS instances running on our infrastructure.
Improve the quality of the code to ensure high availability and low latency for the platform.
Work with other Dataiku services to provide a more customized experience for Dataiku Cloud users.
Tech stack: Python (Flask) for the backend of the launchpad and VueJS for the frontend.

What You Need To Be Successful

You are an agnostic Software Engineer with a significant experience in one or more languages (Java, Python, Scala, Node.JS, or others)
We’re hiring at all levels (junior, mid, senior)
Knowledge of distributed systems, cloud platforms, and modern data architectures
A collaborative spirit and a passion for solving complex problems that enhance user experience
You value code simplicity and performance
You want to work in a fast, high-growth environment that respects its engineers and customers

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

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.

Myddle, United Kingdom

Hybrid

26-03-2025

Company Name: Dataiku
Job Title: Fullstack Software Engineer - Business Solutions - Onsite or Remote (FR, UK, DE, NL)
Job Description: 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. You can find out even more about working in Engineering at Dataiku by taking a look here.

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 UI’s 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.
Empower Business Users: Create applications that allow expert users to work with large datasets and extract meaningful insights quickly and intuitively. Your goal is to bring complex data to life in the browser and simplify interactions with large-scale data sets.
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

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.

Myddle, United Kingdom

Hybrid

26-03-2025

Company Name: Dataiku
Job Title: Software Engineer Fullstack - Core - Onsite or Remote (FR, UK, DE, NL)
Job Description: 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. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you 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

This position is either onsite from Paris, London, Berlin and Amsterdam, 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
Tech stack: Java, Python, AngularJS, Angular
Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
Develop new chart types and optimize visualization performance
Enhance dash boarding capabilities to deliver fast and flexible experiences
Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
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
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 a 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)

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.

Myddle, United Kingdom

Hybrid

26-03-2025

Company Name: Dataiku
Job Title: GenAI Field Product Specialist
Job Description: 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.

Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.

Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from data exploration to project & model deployment and monitoring.

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 UI’s 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

Appetite for Gen AI is big, but practical approaches often remain to be unlocked for material success to be delivered. Our unique value proposition, centered around offering organizations to accelerate comprehensive Gen AI roadmaps from design to deployment with high standards of scalability and quality, demands for customers to move past the experimentation stage into tangible delivery to deliver highest impact. As we accompany them on this journey, we have a unique opportunity to put current capabilities in motion, and shape coming features through transformative co-innovation motions.

As a Gen AI Product Specialist, you will be the field facing of our Gen AI value proposition, acting as a key expert capable of articulating and putting in action our value proposition. You will build strong relationships with different organizations and partners, allowing Dataiku to further reinforce its positioning in the Gen AI space, and you will play a key role in ensuring full enablement of our different teams on our value prop.

This role reports into the GVP of Product and Solutions, with a tight relationship with the AI/ML Director and supporting Senior Product Managers as well as the different Engineering resources, and will work cross functionally with the different field facing teams from AEs to Global Services and Field Engineers.

What You'll Be Doing

Act as an Expert on Dataiku’s Gen AI value prop both in terms of vision and features as well in putting it in action. Practically speaking, you will be engaging with customers and partners at different stages of the funnel, supporting them in understanding how to address their immediate Gen AI priorities with Dataiku, including being the hands-on lead in delivering first success.
Develop the right set of assets to build more scale and autonomy across teams, along with PMM and other teams. You will notably work on the roll out of all Dataiku Answers and other Gen AI features, ensure Dataiku Answers and other Gen AI usage significantly grows, with all enhancements needs being well documented. As part of this mission, you will play a key role in actively supporting functional tests of different Gen AI capabilities and early prototyping. You will actively work on developing a strong applied vision of Gen AI along with the Solution team and will actively contribute to building golden demos or solutions leveraging Dataiku’s capabilities.
Significantly reinforce our detailed understanding of Gen AI deliveries by our existing customers.
Lead or actively contribute to the Gen AI program, turning this value prop in an ARR development motion, with a focus on logo acquisition. You will be able to develop and roll out different business development approaches, and play an overlay role on opportunities as needed.
Reinforce our range of supporting partnership and grow our resonance in the Gen AI eco-system. As part of this, you will support or lead the development of new partnerships (with consulting and tech partners), ensuring Dataiku is always fully aware of the eco-system evolution, and well identified.

What You’ll Need To Be Successful

You have 7 years+ of experience in the data science and technology field, with a solid track record in understanding new technologies, market trends, and putting new tech in motion.With deep hands-on experience in delivering data science projects involving Large Language Models. Capable of explaining technical concepts in a simple, business friendly manner, to test and learn so as to identify the best approaches quickly.
3+ years of experience with Python, hands on experience with data ETL, cleaning, machine learning algorithms and Large Language Models. Experience developing WebApps (Javascript,Dash or RShiny..) will be a plus.
Very strong understanding of Dataiku and its positioning.
Strong communication skills, able to interact with a variety of stakeholders from AI builders to decision makers.
Organized, structured, able to produce strong reusable assets (from slides and docs to Gen AI use-cases and other technical assets)
Based in EMEA at or close to a Dataiku office, able to travel.

What does the hiring process look like?

45 min call with a Technical Recruiter
Technical video interview with a Software Engineer
Interview with the VP of Engineering
Interview with a Sales Engineer
Interview with our SVP Product and Solutions

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 ...

Paris, France

Remote

27-03-2025

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