At a Glance
- Tasks: Lead the integration of product catalogues into an AI-powered commerce platform.
- Company: Early-stage tech company revolutionising print and custom products with AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and make a real impact in an innovative environment.
- Why this job: Take ownership from day one and shape the future of e-commerce.
- Qualifications: Strong Java experience, data-modelling skills, and API integration expertise.
The predicted salary is between 63000 - 77000 £ per year.
About the Company
We are working with an early-stage technology company building an AI-powered commerce platform for the print and custom products sector. The platform supports the full customer journey, from understanding product requirements through to artwork, pricing, supplier selection, manufacturing and fulfilment.
The Role
We are hiring a Senior / Lead Java Engineer to own a key catalogue integration workstream. You will be responsible for the ingestion of manufacturer product catalogues into the platform. This is the pipeline that pulls each supplier’s printable products, formats, specifications, options, pricing and lead times, then normalises them into a single internal model that the platform can sell and order against.
The work is already underway in partnership with an established print manufacturer’s engineering team. You will start by embedding with that team to understand what has been built and take a full handover, before bringing the project in-house and leading it internally. Over time, you will extend the integration pipeline to additional manufacturers. This is a hands-on role with real ownership from day one. You will shape how catalogue data is modelled, ingested, validated and kept in sync across a growing set of suppliers.
What You Will Do
- Embed with a partner engineering team, learn the existing catalogue ingestion work and take a clean handover.
- Bring the project in-house and establish it within the company’s codebase and architecture.
- Lead the catalogue ingestion workstream, designing, building and owning robust, maintainable ingestion pipelines.
- Model and normalise heterogeneous supplier catalogue data, including products, specifications, options, pricing and lead times, into a unified internal representation.
- Build reliable sync logic, handling updates, deltas, validation and data-quality monitoring.
- Integrate with supplier systems via APIs and structured data feeds, including REST and file-based formats such as JSON, XML and CSV.
- Extend the pipeline to onboard further manufacturers.
- Work closely with the wider engineering and product team, setting the technical direction for this area.
Must Have
- Strong commercial Java experience with Spring / Spring Boot.
- Solid data-modelling skills and experience with relational databases, such as PostgreSQL.
- Experience integrating third-party APIs and parsing structured data feeds, including JSON, XML or CSV.
- A self-starter who can take ownership, work through ambiguity and lead a workstream in an early-stage environment.
- Strong communication skills, with the ability to embed with an external team and take a structured technical handover.
Nice to Have
- Domain experience in print, e-commerce, product catalogues or supplier / distributor integrations.
- Event-driven or messaging experience, such as Kafka or queues.
- Cloud experience, ideally AWS or GCP.
- Containerisation experience, ideally Docker.
Lead Java Engineer employer: DeepRec.ai
Join a pioneering nature-based solutions startup as a Senior Applied AI Scientist, where your expertise in machine learning will directly contribute to tackling pressing climate and biodiversity challenges. Enjoy the flexibility of a remote-first work environment, complemented by an impressive 32 days of paid holiday and a culture that prioritises support and collaboration, making it an ideal place for passionate individuals seeking meaningful impact and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Java Engineer
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Lead Java Engineer
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 DeepRec.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepRec.ai 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 DeepRec.ai
✨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 DeepRec.ai 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.
