Fullstack Software Engineer – Core

Job not on LinkedIn

🕒 October 23, 2025

🌐 France, Germany, +3 more countries – Remote

🇫🇷 France – Remote 🇩🇪 Germany – Remote 🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dataiku

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $400M Series E on 2021-08

Consulting • Logistics • Healthcare

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

📋 Description

• Contribute to building Dataiku DSS core features as a Fullstack Engineer • Develop data integration, transformation, cataloging, visualization, notebooks, SQL workbenches, and APIs • Build AI and machine learning features, including LLM APIs and machine learning model integrations • Collaborate with research teams on machine learning experiments • Enhance collaborative workspaces, dashboards, datasets, and LLM-powered interfaces • Develop chart types and optimize visualization and dashboard performance • Automate and monitor machine learning model retraining, deployment, and lifecycles • Optimize platform processing engines for scalability and latency • Expand support for databases, cloud platforms, data sources, and engines • Develop AI compliance and governance platforms and simplify policy enforcement across systems • Participate in technical recruiting, engineering lead, technical assessment, and VP engineering interview stages

🎯 Requirements

• Significant experience in software engineering building a real product • Open to junior, mid, and senior-level candidates • Passion for combining backend performance with exceptional frontend user experience • Ability to work in a fast-paced, high-growth environment • Technical skills demonstrated through a home test or live coding assessment

🏖️ Benefits

• Equal opportunity employer • Accommodation support available for applicants • Personal growth opportunities • Diverse and inclusive work environment