Job Title

Continue to build the data infrastructure for products that VC and PE firms use every day to get more data, more signals and find new ways of identifying high-growth companies.With VC investment skyrocketing over the past few years, the competition to find the next Facebook or Amazon has increased exponentially. This company have already built a platform that allows these companies and their internal researchers to spot interesting talents early on. You’ll be coming in to make a significant impact on the engineering culture, specifically data engineering.You’ll have the potential to become a future leader in the business, there’s no doubt about this. Whilst still early stage, they’ve not taken on huge investment and have grown organically based off profits from the platform.A day in the life for you early on will involve you getting to grips with the data architecture in place right now, but to define it further and improve what’s in place right now. You’ll report directly to the founding members, and you’ll be given ownership on the direction of data engineering across the business.They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s something that should be done differently, you will be given the decision-making ability to change things.In terms of your experience, you’ll of course need to come from a strong background in data engineering and it’s most likely that you will be comfortable with the tech stack mentioned above. Python and PostgreSQL are of course essential initially. Any AWS experience would be beneficial.You’ll be paid up to £120,000 as a starting salary plus annual bonus. It’s a flexible working environment too, so you could either be looking for an in-office, hybrid or remote role – two or three days in the office would be most preferable. If this sounds like something that could be of interest, let’s talk!No up-to-date CV required.