At a Glance
- Tasks: Design and build cutting-edge AI systems for enterprise clients in regulated sectors.
- Company: Join a fast-moving AI company with a collaborative culture across London, Shanghai, and Italy.
- Benefits: Competitive salary, performance bonuses, hybrid work, and significant autonomy.
- Other info: Opportunity to shape engineering culture and mentor mid-level engineers.
- Why this job: Make a real impact in AI delivery with direct exposure to enterprise clients.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with LLMs.
The predicted salary is between 63000 - 77000 £ per year.
Data Hatch is an agentic AI company building production AI systems for regulated industries, including healthcare, insurance, and financial services. We are a Databricks and Microsoft partner, and we work with enterprise clients who need AI that actually ships: governed, auditable, and reliable enough to run in environments where mistakes carry real consequences. We are a young, fast-moving company operating across London, Shanghai, and Italy. You will work directly with the founder and a small senior team, with real ownership over what you build.
The Role
We are looking for a Senior Software Engineer to design and deliver agentic AI systems end to end, from data platform through to production application. This is a hands-on role for someone who is comfortable owning ambiguity: you will scope solutions with clients, architect them, build them, and stand behind them in production.
What You Will Do
- Design and build production-grade AI and agentic systems for enterprise clients in regulated sectors
- Develop data and ML pipelines on Databricks and Azure, including Unity Catalog governance, orchestration, and deployment
- Build robust backend services and APIs that integrate LLMs, retrieval systems, and agent frameworks into client environments
- Own delivery quality: testing, observability, evaluation of AI outputs, and documentation appropriate for regulated clients
- Work directly with client stakeholders to scope requirements and translate them into technical designs
- Contribute to internal products and accelerators that we reuse across engagements
- Mentor mid-level engineers and contractors, and help set engineering standards as the team grows
What We Are Looking For
- 5+ years of software engineering experience, with at least 2 years shipping production systems in Python
- Hands-on experience building with LLMs: prompt design, RAG, agent orchestration, evaluation, and guardrails
- Strong data engineering fundamentals: SQL, distributed data processing, pipeline orchestration
- Experience with Databricks (or strong Spark experience and willingness to certify) and at least one major cloud, ideally Azure
- Solid engineering practices: version control, CI/CD, testing, code review, infrastructure as code
- Ability to communicate clearly with non-technical stakeholders and represent technical work to enterprise clients
- Comfort in an environment where priorities shift and you are trusted to figure things out
Nice to Have
- Experience delivering in regulated industries (healthcare, insurance, financial services) and familiarity with the compliance constraints that come with them
- Databricks or Microsoft certifications
- Experience with agent frameworks (LangGraph, Claude Agent SDK, Semantic Kernel, or similar)
- Frontend skills (React or similar) for building client-facing tools and demos
- Consulting or client-facing delivery background
What We Offer
- Competitive salary and performance-based bonus
- Direct exposure to enterprise AI delivery at the frontier, with real production stakes
- Significant autonomy and a direct line to the founder
- Hybrid working with flexibility
- The chance to shape engineering culture at an early-stage company with strong partnerships and live enterprise clients
Data Hatch is the trading name of Calanna Consulting Limited. We are an equal opportunity employer and welcome applications from all backgrounds.
Senior Software Engineer in London employer: Data Hatch
Data Hatch is an exceptional employer that fosters a culture of innovation and collaboration, allowing Senior Software Engineers to thrive in a dynamic environment. With a focus on agentic AI systems for regulated industries, employees benefit from significant autonomy and the opportunity to work closely with senior leadership, ensuring meaningful contributions to cutting-edge projects. The hybrid work model promotes a healthy work-life balance, while ongoing professional development opportunities empower team members to grow their skills and advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer in London
✨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 Data Hatch 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 Data Hatch.
✨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 Data Hatch.
✨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 Data Hatch 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 Senior Software Engineer in London
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 Data Hatch.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Hatch 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 Data Hatch
✨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 Data Hatch 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.
