Software Engineer Full Stack - Modern Dashboards

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

We are looking for a skilled Software Engineer to improve our dashboards, empowering users to consume data more effectively and make quicker decisions.

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 visualization features, you will collaborate with our Product Manager, UX Designer, and QA to brainstorm, refine specifications, implement, and test high-quality code.

Our team is on a mission to elevate Dataiku dashboarding capabilities to the next level by delivering:

• More interactivity
• Greater customization
• Advanced filtering options
• A more seamless and intuitive user experience
• Better performance for faster insights

All of this in a safe place to work where all ideas and suggestions are welcome and taken into account, and where everyone's 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 dashboards
• 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 don't hesitate to ask questions when you don't 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)
• Final Interviews with our VPs of Engineering (2h) #LI-Hybrid