Data Engineering Lead

Plasma is building the primary account for global money. Its first product, Plasma One, is a global money account for receiving, holding, sending funds, earning yield and spending with a card. Underneath is the Plasma network, built for stablecoin payments. The Data Lead will build Plasma's data function from the ground up as its first dedicated data hire, working across Consumer, Payments and Business to give the company one trusted view of its users, its money and its operations.

Responsibilities

Own Plasma's data platform end to end: the Snowflake warehouse, ingestion from production systems and third-party providers, and the modelled layer; Define the metrics the company runs on (funded users, activation, engagement, balances, spend and retention) and ensure every team uses the same definitions; Partner with Consumer to understand user behaviour across regions, segments and products and turn it into product decisions; Design and analyse experiments and judge when a result is real; Work with Payments and finance on reconciliation across ledgers, providers and banking partners, revenue reporting and unit economics; Find fraudulent and abusive patterns and build the signals and rules that let risk and operations act on them; Treat data quality, testing, access control and PII handling as part of the platform; Choose tools, set standards for the function and hire the team as Plasma scales

Requirements

Senior, hands-on data practitioner with a track record of both building a data platform and using it; Deep SQL and data modelling skills, with enough engineering range to build and run production pipelines yourself; Comfortable starting from very little, and building something that still makes sense when the team is five times bigger; Strong judgment on tradeoffs: speed vs. rigour, build vs. buy, a quick answer now vs. a reusable model later; Ability to turn analysis into decisions and explain a finding to a non-technical leader in a few sentences; Communicates clearly, writes clean, tested code, and leads through technical decisions whether or not managing people yet; Very high agency, finding the problems that matter without waiting to be told

Nice to have

Early or founding data hire at a fast-growing fintech; Experience with real money data at a fintech (payments, cards, ledgers, settlement, chargebacks or FX); Hands-on fraud, risk or financial-crime analytics; Familiarity with stablecoins and on-chain data, including how blockchain transactions map to accounts, balances and ledgers; Experience hiring and growing a data team; Machine learning in production for fraud, risk or personalisation

Benefits

Above-market salary for the level of the role, with token compensation; London HQ with gym access and daily food; Visa sponsorship and relocation support if joining from abroad; Premium health insurance for you and your family, fully covered by Plasma; Monthly wellness budget (gym, therapy, sauna, or massage); All the tools and tech you need to operate at your best; Real ownership and responsibility from day one