Data Engineer

Plexus; City Of London; Remote; GBP 180,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work

Professional development

Job summary

Plexus is seeking a Data Engineer to own monitoring, parameter systems and data infrastructure as the DeFi trading protocol scales. The role covers ingestion pipelines for on-chain events and market data, versioned parameter models, and robust alerting to ensure protocol health.

You'll build backtesting replay frameworks, implement CI/CD for research code, and work with AWS services (S3, Athena/Glue, Redshift, ECS/Lambda) to productionise data workflows and dashboards.

Qualifications

• Strong Python and SQL experience building production data pipelines.
• Hands-on AWS experience across S3, Athena/Glue, Redshift and ECS/Lambda.
• Proven ability to build monitoring systems with Grafana, including alerting and incident workflows.

Responsibilities

• Architecture and maintaining ingestion and transformation pipelines for on-chain events and market data.
• Implementing parameter models as reproducible, versioned code for review and deployment.
• Designing Grafana dashboards and alerting for protocol health and economic correctness.
• Building back testing and replay frameworks to validate parameter changes under stress scenarios.

Skills

Python

SQL

AWS

Grafana

CI/CD

Tools

S3

Athena/Glue

Redshift

ECS/Lambda

Job description

Data Engineer

Trading Platform

Remote

Up to £200k

Plexus is working with a client in the DeFi trading space. They are a permission less, on-chain trading protocol allowing anyone to trade stocks, commodities, currencies and crypto through a fully transparent, auditable stack. They have raised $30M+ from a strong group of institutional and strategic backers.

They are looking for a Data Engineer to own their monitoring, parameter systems and data infrastructure as the protocol scales.

Role:

• Architecture and maintaining ingestion and transformation pipelines for on-chain events and market data.
• Implementing parameter models as reproducible, versioned code for review and deployment.
• Designing Grafana dashboards and alerting for protocol health and economic correctness.
• Building back testing and replay frameworks to validate parameter changes under stress scenarios.

Requirements:

• Strong Python and SQL experience building production data pipelines.
• Hands‑on AWS experience across S3, Athena/Glue, Redshift and ECS/Lambda.
• Proven ability to build monitoring systems with Grafana, including alerting and incident workflows.
• Experience productionising research logic with CI/CD, testing and reproducible environments.

Benefits:

• Competitive compensation package.
• Flexible work arrangements.
• Professional development opportunities.