Data Engineer

We’re supporting a growing healthcare technology company that is expanding its data engineering capability across both AI-driven scientific platforms and clinical trial delivery systems.

The business operates at the intersection of healthcare, clinical research, imaging, and machine learning, helping accelerate clinical trials and improve patient outcomes through advanced data and AI technology.

This is an opportunity to join a highly collaborative multidisciplinary environment, working alongside software engineers, machine learning scientists, infrastructure teams, and clinical operations specialists.

The Opportunity

We are looking to speak with experienced Python-focused Data Engineers who enjoy working within complex, data-rich environments and are motivated by solving meaningful technical challenges.

The role combines elements of:

• scalable data infrastructure

• machine learning data preparation

• production-grade pipeline engineering

• healthcare and imaging datasets

• regulated clinical data delivery

Depending on background and strengths, there is flexibility to align individuals more closely to either:

• AI / scientific data engineering

or

• operational clinical pipeline engineering

Key Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure

• Work with large-scale healthcare, imaging, and clinical datasets

• Improve data quality, automation, reproducibility, and operational efficiency

• Support machine learning and AI-driven workflows

• Collaborate across engineering, scientific, infrastructure, and operations teams

• Contribute to scalable cloud-based data platforms

• Help improve and automate complex data processing workflows

Technology Environment

• Python

• AWS

• Kubernetes & Docker

• Dagster / orchestration tooling

• Cloud-native infrastructure

• CI/CD pipelines

• Large-scale healthcare and scientific datasets

What We’re Looking For

• Strong commercial Python engineering experience

• Experience building and maintaining production data pipelines

• Strong understanding of scalable infrastructure and data processing

• Excellent communication and stakeholder engagement skills

• Ability to understand wider business and healthcare context, not just pipeline delivery

• Experience operating within complex or regulated environments

Highly Desirable

• Healthcare, biotech, medtech, or scientific platform experience

• Imaging data exposure (CT, HRCT, DICOM)

• Machine learning or AI infrastructure exposure

• Kubernetes and infrastructure tooling experience

• Experience with reproducibility, data quality, and operational scalability

• Bioinformatics, genomics, or scientific computing backgrounds

The Environment

• Hybrid working model

• Collaborative engineering and science culture

• Greenfield and scaling platform challenges

• Strong mission-driven healthcare focus

• Opportunity to contribute to technology that directly impacts clinical trial acceleration and patient outcomes

At Stockford Recruitment, we help startups and SMEs grow by connecting them with exceptional tech talent. We are committed to the growth of our candidates and clients.

We review every application carefully, but due to the volume we receive, we may not be able to respond to everyone individually.

If you haven’t heard back within 10 working days, please don’t be discouraged - new opportunities are always coming up, and we’d love for you to stay connected with us...