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Fullstack Software Engineer - Business Solutions

Job in Hamilton, South Lanarkshire, ML3, Scotland, UK
Listing for: Dataiku Misc Postings
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, Front End Developer, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Fullstack Software Engineer - Business Solutions

United Kingdom, Remote

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.

Dataiku’s enterprise clients rely on the platform to operationalize AI and run it as a true business performance engine delivering measurable value.

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.

In Business Solutions, we are building apps that leverage Dataiku’s capabilities in data and AI, focused on key enterprise use cases that need their own, user‑focused UI’s and flows. We do this for customers in verticals such as Manufacturing, Life Sciences and Finance, powering key processes within their business and operating models.

How you’ll make an impact
  • Build Innovative AI‑Driven Applications: Design, develop, and deploy AI‑powered applications that solve complex business problems, integrating Dataiku’s backend AI capabilities with user‑centric, intuitive front‑end interfaces.
  • Work with Data Scientists and Industry Specialists: Collaborate with solutions engineers, data scientists, and industry experts to define requirements and deliver state‑of‑the‑art solutions that meet user needs across different verticals.
  • Drive Continuous Improvement: Take responsibility for the end‑to‑end lifecycle of applications—from PoC to production. Contribute to the maintenance and evolution of the tech stack and frameworks, supporting new features and architectural improvements to ensure scalability and reliability.
  • Collaborate Across Teams: Work closely with core teams to ensure high‑quality, reusable components, provide best practices, and help make data scientists and business users autonomous in building solutions end‑to‑end.
  • Contribute to Team Growth: Mentor new team members, participate in interviews, and help shape onboarding processes. Bring your expertise and enthusiasm to foster a collaborative, inclusive, and innovative team culture.
What you’ll need to be successful
  • Full‑Stack Development

    Experience:

    You have experience in full‑stack software engineering, taking an app from PoC to production, and are comfortable working across the stack from the front‑end user interface to the back‑end infrastructure.
  • Front‑End

    Skills:

    Proficiency in modern reactive front‑end frameworks such as Vue.js (preferred), React, or Angular, with a deep understanding of building user‑centric, interactive web applications.
  • Back‑End

    Skills:

    Strong experience with backend development, especially with Python (FastAPI, Flask, etc.), and familiarity with RESTful API design.
  • Experience with Data‑Intensive Applications: You understand the challenges of working with large datasets and designing high‑performance, data‑driven applications. Experience with analytics products or data platforms is a strong plus.
  • Customer‑Oriented Mindset: You focus on solving real‑world problems for customers, iterating on feedback, and delivering efficient solutions.
  • Curiosity: You are excited to learn, adapt, and take on new challenges, from architecture discussions to troubleshooting and code writing.
  • Tech Enthusiast: You are passionate about AI and data‑driven applications and eager to use cutting‑edge AI technologies, including LLMs, to shape the future of business.
What does the hiring process look like?
  • 45‑minute call with a Technical Recruiter
  • Technical video interview with an Engineering…
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