Fullstack Software Engineer - Core

Jobicy; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Job summary

Dataiku is hiring a Fullstack Software Engineer to build core features for the Dataiku DSS platform. You’ll work across backend services and frontend experiences using Java, Python, Angular, React, Kubernetes, and cloud platforms.

The role welcomes junior to senior candidates with strong product-engineering experience and a passion for backend performance and frontend usability, in a remote setting from the UK, Spain, Germany, and more.

Qualifications

• Significant software engineering experience with production-grade products.
• Strong interest in backend performance and frontend usability.
• Willingness to work across frontend and backend in a fast-paced enterprise platform.

Responsibilities

• Contribute to building core features of Dataiku DSS across frontend and backend.
• Collaborate on data preparation, AI/ML, data consumption, and visualization features.
• Develop scalable services and improve developer tooling (notebooks, SQL workbenches).
• Partner with researchers and product teams to deliver end-to-end solutions.

Skills

Full-stack development

Java

Python

Angular

React

Kubernetes

Cloud platforms

Data visualization

Data engineering

Machine learning

Tools

Jupyter notebooks

SQL workbenches

Docker

Spark

AWS

Azure

GCP

Job description

Dataiku# Fullstack Software Engineer – CoreReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: UK, Spain, Germany*+2 more*Salary: UndisclosedDepartment: Software EngineeringEmployment: Full TimeExperience: SeniorPublished: 8 Oct 2026Apply before: 8 Nov 2026Listing views: 1,031Application actions: 109Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.Dataiku is hiring a full-stack software engineer to build core capabilities in its enterprise AI and data platform, Dataiku DSS. The role may align with teams spanning data preparation, AI and machine learning, data consumption, visualization, MLOps, platform engineering, or AI governance. Engineers will build scalable product features across backend services and frontend experiences using technologies such as Java, Python, Angular, React, Kubernetes, and cloud platforms. The company is open to junior, mid-level, and senior candidates with significant product-engineering experience and a strong interest in backend performance and frontend usability.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity4/5EasyHard### Pace & Pressure4/5RelaxedFast-paced### Autonomy Level4/5GuidedFull ownership### Communication Load4/5IndependentCollaborative**AI insight**This is a technically demanding product-engineering role in a complex enterprise AI platform with varied domains, large-scale data workloads, and a broad modern stack. Candidates must be able to contribute across frontend and backend systems while collaborating with research, platform, and product stakeholders.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (period not specified)**$145,000**US market range (period not specified)**$105k–$190k****AI insight**Salary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. The employer pay period must be confirmed before comparison. Regenerate the analysis to obtain a market estimate with an explicit period.## Core skillsSkills and capabilities most closely associated with this opportunity.Full-stack developmentJavaPythonAngularReactMachine learning platformsData engineeringCloud infrastructureKubernetesData visualization**Sample interview questions**Opportunity details## About this role.Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack – empowering organizations to run AI across multi-vendor environments with centralized governance.The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.**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**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* **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* **Data Consumption:** build the experience that makes data accessible and actionable for everyone. + Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more + Create innovativeinterfacesthat answer business questions and surface relevant insights using LLMs + Tech stack: Angular, AngularJS, Java, Python* **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* **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) #LI-Remote**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:* [e-mail]---**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.*