We’re looking for a scrappy, experienced data engineer based in London to join our fintech startup at the ground floor. This role is a good fit for those who are excited about independence, impact, and contributing to the battle against scams and financial crime. If this sounds like a match for you, read on to learn more ⬇️
About Tunic Pay 🎽
About us 👋
Nicky (co-founder) previously co-founded Nova Credit, helping immigrants access credit. We’ve served millions of immigrants, raised over $130M (GC, Index, KPCB), built a team of 100+ people across three continents. Before that it was Stanford MBA, Bain, international development, and Cambridge. 🇬🇷-🇬🇧 married to🇰🇷-🇺🇲, parent, intermittent reader/runner, smack talker.
Nico (co-founder) spent the last 4 years as CEO of Casai, LatAm’s largest short-term rental operator with almost 2k apartments in 🇲🇽 and 🇧🇷 and hosted >100k guests. Previously met Nicky as Nova Credit’s first biz hire right after the seed round. Started career @ BCG after studying at Yale 🐶 & Oxford. Born in 🇵🇭 & grew up in Memphis, TN, the birthplace of rock & roll 🎸.
Cyrus (Head of Engineering) has experience across a wide range of industries and has built large-scale systems in a variety of sensitive contexts from banking 🏦 to defence 🛡️. Has been working with Nicky and Nico since 2023. Ex-Palantir and Morgan Stanley, before that Imperial College. Statistically most likely to be found walking my dog 🐕 and climbing rocks 🧗♂️.
And here is a lil video about us as humans (feel free to watch @2x 🙈) 👇.
About you 🤓
Here are some thoughts on who would be successful in the role. We know we won’t be able to assess these from your CV, but our interview process will be designed around them:
Scrappiness: You can autonomously drive value without the comforts of enormous datasets or infrastructure to start!Breadth: You are unafraid of jumping into new terrain; you have a propensity for picking up new tools and technologies or perhaps some experience in an adjacent discipline like software engineering or infrastructure.Quality obsession: You understand how to build production-grade data infrastructure and data products, and are able to bring that rigour to the early stage.Problem-solving: You love complex data challenges, understand how to navigate data quality issues, and anticipate and effectively root cause failures. You have an eye for detail, can see around corners, and understand that prevention is the best cure.Some hard skills we’d value
Languages: Proficiency with languages for data processing and analytics, such as Python/SQL/Scala, and a familiarity with tools like Spark and workflow engines like Airflow/Dagster/Temporal.Architecture: Strong understanding of data architectures, experience designing scalable and fault-tolerant data pipelines and data lakes/warehouses.Governance: Track record working in sensitive data contexts and good understanding of data governance practices, privacy concerns, and regulation (e.g. GDPR).Cloud: You’ve worked with cloud platforms (e.g. AWS, GCP), containerization (e.g. Docker, Kubernetes), and infrastructure as code (e.g. Terraform) in the past.Years of experience: 5 or more. We’re looking for professionals who can structure their own work, and can both think strategically and get their hands dirty. But we’re not overly strict on this one.Stage of experience: (Perhaps even more important than years of experience!) We value people who have worked in early stage companies and demonstrate fluency with ongoing speed: precision tradeoffs and iterativeness.Industry: We’re building on top of technical payments infrastructure so prior experience in fintech or banking is a plus, but experience building large-scale systems in any sensitive data context will get you off on the right foot.Not got 100% of qualifications? Research shows that women and under-represented minorities are less likely to apply for a role if they do not have 100% of the requirements. We’re paying attention to this, so please feel free to apply regardless (<2mins) or send us a note on info@tunicpay.com if you’d like to discuss if there’s a fit.
Stuff you’d do
Design, build and maintain scalable and reliable data storage, processing pipelines, and analytics infrastructure to support Tunic Pay’s data products and analytics needs.Apply your expertise in data analysis and model development: conduct experiments and build production-grade, transparent data products that drive impact for the business and our customers.Ensure data quality and governance across products and pipelines.Advocate for the role of data in our product development, and identify opportunities to leverage new tools or apply existing tools in new ways.Develop and implement strategies for efficient and robust model deployment and monitoring.Continuously optimize and scale data infrastructure and products as our needs and our customers’ needs evolve.Own our data products, monitoring their performance, ensuring ongoing quality, and building robust upgrade processes.Last but not least, the interview process ⏳
We are seeking to make our interview as experiential as possible in order for both sides to get the most signal on what it would be like to work together.
Initial application (<2 mins): Submit your LinkedIn (or CV) in the application link below (we don’t believe in cover letters or unnecessary work here!) 👇Intro call (30 mins): Get to know each other a little and learn more about who we are and what we’re building.Technical screen (45 mins): Do some open-ended problem-solving together with one of our engineers.“On-site” (3 hours, can be done remotely): Deep dive interviews with Cyrus and the team focusing on our data pipelines and analytics (we’ll share some materials ahead-of-time to help you prepare). Plus some time with the co-founders to better understand the team and the business — this is as much for you as it is for us!References and offer: Ideally over dinner!How to apply 📄
Yes! Apply here.
