Data Engineer
LO:TECH is a capital markets firm for the onchain world, providing digital-asset market making, institutional-grade market data, analytics, and execution services. It serves institutional clients, trading firms, funds, banks, researchers, and token projects.
About LO:TECH
LO:TECH is a London-based trading business focused on onchain and digital-asset capital markets. Its proprietary high-frequency trading technology and infrastructure support liquidity provision across centralized and decentralized venues, agency execution algorithms, and institutional market-data services. The company provides live and historical tick-level crypto and prediction-market data through APIs, CSVs, websocket streams, and replay services, alongside transparent market-making dashboards and tailored enterprise data plans. Its clients include token projects, quantitative researchers, funds, banks, and other institutional market participants.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own pipelines that turn raw exchange feeds into reliable market data. You will build and maintain CEX and DEX ingestion, normalise and reconcile data, and manage storage, APIs, feeds, and service levels. You will build data-quality monitoring and keep performance-critical paths fast.
Requirements
- 2–4 years building data infrastructure
- Python and Rust
- AWS and command-line experience
- SQL and data-quality expertise
Responsibilities
- Build and maintain data ingestion from CEX and DEX venues
- Normalise, validate, and reconcile market data
- Own storage and delivery for time-series and historical datasets, APIs, and feeds
- Build data-quality monitoring and alerting
- Maintain fast performance-critical data paths
