Hybrid Data Platform Engineer — Cloud-Native Pipelines

Imubiosciences; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

IMU Biosciences is seeking a Software Engineer to help build and operate the data platform behind our immune-data work in London. The role focuses on turning high-dimensional biological data into trusted, reusable data products and enabling reproducible pipelines at scale.

This hybrid role requires time in our London office a couple of days per week, collaborating with immunologists, data scientists, and engineers to shape the platform around scientists' needs and ensure reliable,

Qualifications

• Strong software engineering experience in Python or another production-grade language.
• Practical experience building and operating cloud-native systems on AWS.
• Experience with infrastructure-as-code, ideally Pulumi or Terraform.
• Experience with data lakes, medallion architectures, or large-scale analytical platforms.
• Experience enabling or productionising data pipelines or scientific workflows.

Responsibilities

• Build, maintain, and improve cloud-native data platform services used by scientific, data science, and engineering teams.
• Develop and operate data lake architectures across raw, cleaned, curated, and analysis-ready data layers.
• Create reliable patterns for data ingestion, validation, transformation, storage, and access control.
• Support reproducible scientific and data pipelines and migrate workflows into production-ready artefacts.
• Improve data discoverability, provenance, and governance in line with FAIR principles.
• Build automation, infrastructure, and developer workflows using infrastructure-as-code and CI/CD.
• Collaborate with scientists, software engineers, and platform users to turn data problems into platform capabilities.

Skills

Python

AWS

Infrastructure as code

Pulumi

Terraform

CI/CD

Data lakes

Tools

GitHub Actions

SQLMesh

Containers

Job description

IMU Biosciences is seeking a Software Engineer to help build and operate the data platform behind our immune-data work in London. The role focuses on turning high-dimensional biological data into trusted, reusable data products and enabling reproducible pipelines at scale.

This hybrid role requires time in our London office a couple of days per week, collaborating with immunologists, data scientists, and engineers to shape the platform around scientists' needs and ensure reliable,