Data Quality Engineer (Digital Assets)

Data Quality Engineer

Company

LO:TECH

Conditions

3 days agoSenior London, UK Onsite Data Science Jobs by LO:TECH

LO:TECH 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. Company intelligence London, UK 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. View jobs by LO:TECH

Skills

Api Arrow Cex Ci/Cd Clickhouse Dashboard Data Analytics Data Quality Dex Kafka Kdb+ Nats Parquet Python Qa Redpanda Sql Terraform Visualisation

Candidate Availability

London · Preferred Onsite · London · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own dashboards and quality controls for live and historical market data. You will define quality metrics, validate and reconcile data across venues, investigate anomalies, and automate checks. You will work with engineers to identify root causes, verify fixes, and report against service levels.

Requirements

• 2+ years in data quality, data analytics, QA, data operations, or data engineering
• SQL
• Python
• Experience building dashboards and visualisations for operational or data-quality monitoring
• Experience working with large datasets and comparing data across sources, time periods, and systems
• Command-line experience

Responsibilities

• Build and maintain data-quality dashboards
• Define data-quality metrics
• Validate and reconcile market data across CEX and DEX venues
• Investigate gaps, stale feeds, duplicates, schema changes, and unusual prices
• Build automated checks for live and historical data
• Identify root causes with engineering and verify fixes
• Report against service-level agreements for client-facing data

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