At a Glance
- Tasks: Join us to build innovative features for our AI platform using the latest tech.
- Company: Dataiku, a leader in AI technology with a focus on collaboration and innovation.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with excellent career advancement opportunities.
- Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
- Qualifications: Experience in software engineering and a passion for user experience.
The predicted salary is between 60000 - 80000 £ per year.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
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.
How you’ll make an impact
This position is either onsite/hybrid from our London office or fully remote from any part of the UK. 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.
- Data Visualization: Elevate our data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance. Enhance dashboarding capabilities to deliver fast and flexible experiences. Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring.
- 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.
- 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 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).
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!
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.
Remote Fullstack Software Engineer - Core in Oldham employer: Dataiku
Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Fullstack Software Engineers to thrive. With flexible remote work options from anywhere in the UK, employees benefit from a diverse and inclusive environment that prioritises personal growth and professional development. Join us to work with cutting-edge technologies and contribute to shaping the future of AI while enjoying a supportive workplace that values every individual's unique strengths.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Fullstack Software Engineer - Core in Oldham
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Dataiku or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Dataiku.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Dataiku.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Dataiku that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote Fullstack Software Engineer - Core in Oldham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dataiku.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dataiku and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dataiku
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dataiku uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
