Software Engineer - Data Exploration - Remote at Dataiku

At Dataiku, were not just adapting to the AI revolution, were leading it. Since our beginning in Paris in 2013, weve 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, were 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, youll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. 

How you’ll make an impact

We are looking for a skilled Software Engineer to elevate our data exploration capabilities, empowering users to deepen their understanding of their data and derive meaningful insights from it. Exploration is probably the most striking part of the data-to-insights process. Let’s face it - there’s nothing more exciting than building a beautiful fit-for-purpose data visualization. And when it comes to presenting data, nothing speaks louder and clearer than a chart!

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

Some expected outcomes for this role:

Within a fun and passionate team notably responsible for data exploration features, you will collaborate with our Product Manager, UX Designer, and QA to brainstorm, refine specifications, implement, and test high-quality code.

Need examples?

• Unleash creativity in our chart builder by implementing new chart types
• Optimize the charts engine and expand its capabilities
• Deliver a fast and flexible experience with Dashboards
• Facilitate seamless sharing of insights among users through our Workspaces

All of this in a safe place to work where all ideas and suggestions are welcome and taken into account, and where everyones involvement is obvious.

Our current tech lineup includes Javascript, AngularJS, Angular, ECharts, and D3.js on the frontend, paired with Java and Spring on the backend.

What you need to be successful 

• Experience in software engineering
• A desire to unravel the mysteries of building captivating charts out of row data
• A customer-centric mindset. You are eager to understand user needs and product usage
• An ability to navigate both frontend and backend development effortlessly
• A preference for pragmatism over dogmatism, smart solutions over unnecessary complexity
• Eyes that can detect misaligned pixels
• Humility and kindness. You dont hesitate to ask questions when you dont know and treat your colleagues with respect, kindness, and honesty
• Being interested in data visualization tools (think Tableau, PowerBI…) is a nice to have for this role

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-Hybrid

What are you waiting for!

At Dataiku, youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we cant 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. 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.