At a Glance
- Tasks: Join a team to build innovative data tools and AI features.
- Company: Dynamic tech company focused on cutting-edge software solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Diverse team culture with opportunities for all skill levels.
- Why this job: Make an impact in a fast-paced environment with exciting engineering challenges.
- Qualifications: Experience in software engineering and a passion for user experience.
The predicted salary is between 60000 - 80000 £ per year.
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 innovative interfaces that 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 dashboarding 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, AngularJS, 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.
Requirements: 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.
Fullstack Software Engineer - Core in City of Westminster employer: Dataiku
At Dataiku, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our Fullstack Software Engineers enjoy a collaborative environment where innovation thrives, alongside opportunities for professional growth through engaging projects in AI and machine learning. Located in a vibrant tech hub, we offer competitive benefits and the chance to work with cutting-edge technologies, making every day a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Fullstack Software Engineer - Core in City of Westminster
✨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 Fullstack Software Engineer - Core in City of Westminster
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.
