Data Engineer

Plexus Resource Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Plexus is partnering with a DeFi trading protocol to build scalable data infrastructure and monitoring as the platform grows.

The Data Engineer will own ingestion pipelines for on-chain events and market data, develop parameter models, and design health dashboards in Grafana.

This role requires strong Python and SQL, hands-on AWS, and a mindset for reproducible, tested environments to support transparent, auditable operations.

Qualifications

• Experience building production data pipelines with Python and SQL.
• Hands-on AWS experience across S3, Athena/Glue, Redshift, and ECS/Lambda.
• Ability to build monitoring systems with Grafana, including alerts.
• Experience productionising research logic with CI/CD, testing and reproducible environments.

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

Tools

AWS S3

Athena/Glue

Redshift

ECS/Lambda

Grafana

CI/CD

Testing

Reproducible environments

Job description

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.
• Competitive compensation package.