Software Engineer - Enterprise Applications

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-premises 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.

How you’ll make an impact

By building new apps for enterprise customers! 

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”!

So are you ready to drive the development of these high-performance, data-driven applications? Read on, as this is a great opportunity to build and ship new, focused applications that leverage Dataiku’s capabilities in data and AI in the real world. 

What success looks like

To be successful in this new role, you need a love for building with data and crafting intuitive experiences. We build for expert users that need to interact with large and complicated datasets to extract (new) insights and improve their processes. Although the Dataiku back-end can do a lot of the heavy lifting in data infrastructure, it is up to us to bring that data alive in the browser. Our goal is to empower our users to work with large data sets and quickly and intuitively extract the insights they are looking for.

As an example of your work, we’d be proud IF your first year at Dataiku includes these achievements:

• You built and helped launch new applications, made major improvements (feature to architecture) to existing ones (this is your most important responsibility). 
• You designed and delivered important improvements to how we manage and service our applications. 
• You experimented with (new) technologies to find the best fit for requirements and technology choices, turned the insights into deliverables.
• You helped to grow our team (selection, interviews, onboarding, mentorship);
• You brought your authentic self and sense of humor to work (“fun” is a KPI!)

Required experience 

• Experience as a software engineer in different stages of a team. Likely at least 5 - 7 years - but what matters is what you did, not how long it took you. You will need the ability to take an app from PoC to production, hacker to maintainer (and back).
• Considerable experience with modern reactive front-end frameworks like React or Vue.js.
• Experience with robust back-ends, modern API design and implementation. Production-level Python is a big plus (FastAPI, Flask) - it is fine if you come from other RESTful frameworks, but the willingness and skills to switch and master is a must. 

What will make you stand out 

• Clear experience and stack fit Our apps are built on Vue.js against a Python back-end.
• Experience in both startup- and enterprise settings. While Dataiku is young and growing fast, our customers have established processes and constraints you need to (be able to) understand.
• Experience working on data-intensive applications and the unique challenges of making this work in a reactive setup - like modern web-based analytics products.
• Self-starter, flexible and curious. One day you help out with technical discovery and discuss architecture, the other you are supporting a service engineer. Throughout you write and test code. That should suit and drive you. 
• Customer orientation. You understand a “product” is not the same as LoC or stack choices, and like to dive deep on what customers are trying to achieve to help solve their problems. 

What does the hiring process look like? 

• Initial call with a member of our Technical Recruiting team
• Video call with Director Enterprise Applications and Software Engineer
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with Team
• Final Interview with VP Business Solutions #LI-Remote