Dataiku

6 Jobs

1,512 Employees

About the Company

Dataiku is The Universal AI Platform(tm), giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality -- empowering customers to future-proof their AI initiatives.

Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to build with AI using their existing skills and knowledge. Designed for the most demanding enterprise environments, Dataiku builds governance into every part of the platform, ensuring regulatory compliance and complete business alignment.

More than 700 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.

Listed Jobs

Company Name: Dataiku
Job Title: Software Engineer in Test - QA
Job Description: Job title: Software Engineer in Test – QA Role Summary: Develop and maintain automated and manual testing processes for a data‑science platform built with modern web and big‑data technologies. Collaborate with developers to deliver testable code, improve test infrastructure, and mentor junior QA staff. Expectations: Possess solid experience in test engineering, emphasis on automation (API/UI). Proficient in an object‑oriented language (Python, Java, C#, C++). Strong communicator who values collaboration with development teams. Able to evaluate tooling choices before implementation. Key Responsibilities: • Write advanced automated test suites using Python, Pytest, Selenium, Allure. • Design manual test plans, strategies, and prioritization. • Work with developers to ensure testable, high‑quality code. • Enhance test infrastructure (VMs, containers, auto‑provisioning, UI testing). • Mentor and onboard new QA team members. Required Skills: • Test engineering with significant automation experience. • API and/or UI testing expertise. • Object‑oriented programming (Python, Java, C#, C++). • Experience with Jenkins CI, AWS services. • Ability to collaborate cross‑functionally. • Strong analytical and problem‑solving skills. Optional/Desirable: • Knowledge of big‑data frameworks (Hadoop, Spark, Kubernetes). • Cloud platform experience (AWS, Azure, GCP). • Basic understanding of machine learning concepts. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field. Optional: Professional certifications in software testing (e.g., ISTQB).

Paris, France

Remote

24-11-2025

Company Name: Dataiku
Job Title: Business Development Representative - UK
Job Description: **Job Title** Business Development Representative – UK **Role Summary** Drive the growth of a leading AI platform by generating, qualifying, and nurturing high‑volume leads in the UK market. Collaborate closely with Sales and Marketing teams to execute targeted outbound campaigns, educate prospects on the product’s value, and support the transition of qualified leads into enterprise deals. **Expectations** - Manage a daily pipeline of inbound and outbound leads via phone, email, and LinkedIn. - Meet revenue and qualification targets in a high‑volume, results‑oriented environment. - Consistently track and report key metrics, identifying optimizations to increase conversion rates. **Key Responsibilities** - Qualify and score incoming leads, ensuring alignment with target verticals and geographical scopes. - Design and execute focused outbound campaigns in partnership with Marketing, targeting SMBs to large multinationals across e‑commerce, retail, finance, insurance, utilities, and transport. - Partner with Sales Executives to move qualified prospects toward closing large enterprise deals. - Educate prospects on the platform’s capabilities, its integration within the broader big‑data ecosystem, and its business impact. - Engage early‑stage prospects, nurturing them for future opportunities. - Capture and analyze weekly activity data; provide actionable insights to refine prospecting strategies. **Required Skills** - Strong interpersonal and verbal/written communication. - Proven experience in software/tech sales or business development, preferably in a startup or high‑growth environment. - Excellent organizational and project‑management abilities; adept at handling high‑volume, time‑critical tasks. - Highly analytical mindset with a strong focus on tracking and reporting all sales activities. - Basic understanding of data science, predictive analytics, and the Big Data ecosystem. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, Computer Science, or a related field. - No mandatory certifications required, but familiarity with CRM systems (e.g., Salesforce) and sales analytics tools is highly desirable.

London, United kingdom

On site

28-11-2025

Company Name: Dataiku
Job Title: Fullstack Software Engineer - Core
Job Description: **Job Title:** Fullstack Software Engineer – Core **Role Summary:** Design, develop, and maintain core features of a data science platform, bridging backend performance with intuitive frontend experiences. Contributions span data preparation, AI & machine‑learning enhancements, data consumption interfaces, visualization tooling, MLOps infrastructure, platform scalability, and AI governance. **Expectations:** - Demonstrated accomplishments building production‑grade software in a real‑world product environment. - Passion for blending scalable backend services with high‑quality user interfaces. - Comfortable working in a fast‑paced, high‑growth setting with diverse, cross‑functional teams. - Ability to act across the technology stack, from database services to cloud integrations, and from UI frameworks to ML frameworks. **Key Responsibilities:** - Implement and evolve core features in **Data Preparation** (data integration, transformation, cataloguing, notebooks, APIs). - Extend AI‑driven capabilities such as LLM inference, cross‑provider LLM APIs, and statistical/forecasting models. - Build data consumption experiences: collaborative workspaces, dashboards, interactive charts, and LLM‑powered insights. - Develop high‑performance visualization components using React, D3.js, ECharts, and Node.js. - Create MLOps tooling for model retraining, monitoring, and deployment orchestration. - Enhance platform scalability, latency, cloud support, and data‑source connectivity (Spark, Kubernetes, Docker, AWS/Azure/GCP). - Design AI governance features for compliance management, policy enforcement, and system integration. **Required Skills:** - Strong programming in **Java** and **Python**. - Front‑end expertise with **AngularJS / Angular**, **React**, **HTML/CSS**, **D3.js**, **ECharts**. - Backend services using **Spring**, **Node.js**, **Kubernetes**, **Docker**, **Spark**. - Experience with **scikit‑learn**, **TensorFlow**, **PyTorch** for ML functionality. - Proficiency with **PostgreSQL** and multiple database engines. - Familiarity with cloud platforms: **AWS**, **Azure**, **GCP** and CI/CD practices. - Knowledge of LLM integration, API design, and data‑engineering pipelines. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. ---

London, United kingdom

Remote

04-12-2025

Company Name: Dataiku
Job Title: Product Analyst Intern
Job Description: **Job Title** Product Analyst Intern **Role Summary** Participate in the Technology Team’s Product Analytics unit to develop, monitor, and interpret product metrics, build user‑data prototypes, and deliver actionable insights that drive product improvements and feature adoption across Dataiku’s platforms. **Expectations** - Gain a holistic understanding of product analytics and data‑driven decision making. - Resolve ambiguous analytical problems with a focus on impact. - Collaborate closely with cross‑functional teammates and communicate findings to a broad audience. **Key Responsibilities** - Define and implement metric‑alerting systems to monitor data quality and product performance. - Design and build a prototype user‑base model that consolidates usage, assignment, community, and learning data. - Conduct feature launch analysis and usage studies on Mixpanel, Dataiku DSS, and community/academy sites. - Produce reporting dashboards and insights for new features and community engagement. - Respond to analytics requests related to product metrics, working with other data teams to ensure accurate, robust data foundations. **Required Skills** - Advanced SQL querying for large datasets. - Core statistical knowledge and experience with experimentation design. - Python proficiency is a plus. - Strong analytical reasoning and impact‑oriented mindset. - Excellent written and verbal communication in professional English. - Ability to thrive in ambiguous, collaborative environments. **Required Education & Certifications** - Bachelor’s, Master’s, or equivalent degree in a quantitative field (Economics, Data Analytics, Data Engineering, Computer Science, Statistics, Mathematics, Data Science, etc.).

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