At a Glance
- Tasks: Own and optimise data systems, ensuring clean data for seamless operations.
- Company: Join a rapidly growing B Corp certified company making bags for future builders.
- Benefits: Flexible remote work, competitive salary, and a supportive team culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be part of a small, dynamic team shaping the future with AI-driven operations.
- Qualifications: 3+ years in data systems, fluent in SQL, and experience with modern data stacks.
The predicted salary is between 63000 - 77000 £ per year.
Data & Systems Lead | London | Reports to: Chief Operating Officer
Join us. We're still building.
We make bags and accessories for the people building the future. Engineers, founders, designers, makers. People in the arena, doing the work, often without proof.
We've grown 15x in the last five years. B Corp certified. Wirecutter's pick for best laptop backpack.
We're building operations with AI at its core, and we mean it.
Our operating layer runs on Big Query, our first agents ship this quarter with our build partner, and the model is simple: a small team, serious volume, and machines doing the coordination — every seat owns and runs its own agents.
You own the rails that make that possible: the pipelines, the one source of truth, the standards, and, over time, the AI capability itself as we bring it in-house.
Reporting to our COO, you own the data and systems layer everything else stands on.
Every buy we commit, every agent we run, every promise we keep to a customer sits on data you keep honest.
Small team. Real ownership. You'll build, run and fix the things the rest of the business runs on, shoulder to shoulder with the operators who use them. No layers, no translators.
What You'll Do
- Own the data layer: Big Query pipelines, schema and data quality across Shopify, our 3PLs, Amazon and finance. When the data is clean, everything downstream just works.
- Build the vendor scorecard feeds (LSM via SP-API, our 3PLs, Flexport), so every vendor review runs on our numbers, not theirs.
- Own master SKU data: one source of truth for style and SKU records, feeding the site, wholesale portals, Amazon and finance.
- Own the rails and the standards: shared connections and credentials, the agent registry (every agent, its owner, its last check), documentation and handover, set with our external partner and then brought in-house.
Seat owners maintain their own agents; you make them able to.
- Run internal systems: access, tooling, file systems.
Who You Are
- 3+ years hands-on with data and systems in a business that ships physical product, or somewhere the data was every bit as messy. You've built pipelines that mattered.
- Fluent in SQL and a modern data stack (Big Query or similar). You wrangle APIs and write the scripts that hold it together.
- AI-first with evidence: you're already building with it, and you've helped non-technical colleagues build and maintain their own automations, and enjoyed it.
- Systems-minded and low-ego. Documented, reliable and handed over well beats clever.
- Based in or able to work from London (Fitzrovia) or Boston.
- Why Troubadour
We've grown 15x in the last five years. The next phase is bigger still, and everyone we hire has a hand in shaping it.
We're a small team.
Curious.
Hands-on.
We care about doing things well, and about the people doing them.
High standards without high drama.
We disagree out loud.
We back each other up.
The people who thrive here treat the work seriously and themselves a little less so.
Our headquarters is in Fitzrovia, London, and our store is on Beak Street in Soho.
We have an office in Boston.
The rest of the team works remotely, and we get together whenever we can.
We look after our people properly.
The basics and more.
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Data & Systems Lead employer: Troubadour
At Troubadour, we pride ourselves on being an excellent employer that fosters a vibrant work culture in the heart of London. Our team enjoys a collaborative environment where creativity is encouraged, and professional growth is supported through ongoing training and mentorship opportunities. Join us to not only advance your career but also to make a meaningful impact in building engaged audiences and partnerships within our dynamic community.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Systems Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Troubadour!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & Systems Lead at Troubadour.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Troubadour.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Systems Lead at Troubadour, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & Systems Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Troubadour, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Troubadour. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Troubadour
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Troubadour!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
