Clinical Data Engineer: AI-Driven Pipelines & DICOM on AWS

Lead Group; Western Australia; On-site; AUD 120,000 - 160,000; Full time

Job summary

Lead Group seeks an experienced Clinical Data Engineer to design scalable data pipelines and image-intake infrastructure for clinical evidence generation. You’ll collaborate with Data Science, Clinical Operations, Software Engineers and Quality/Regulatory teams to turn complex requirements into production-ready data solutions.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and AWS experience with CI/CD.

Qualifications

• 5+ years' experience in data engineering or software development.
• Strong hands-on capability with Python and SQL.
• Experience building scalable cloud-based data pipelines and warehouses.
• Strong exposure to AWS, ideally including Lambda, ECS or Redshift.
• Experience with CI/CD, version control and infrastructure automation.
• Strong understanding of data quality, security, traceability and documentation.
• Bachelor's degree in Computer Science, Information Systems or a related discipline; Master's preferred.
• Strong communication skills and the ability to work across technical and non-technical teams.

Responsibilities

• Design, build and optimise scalable ETL/ELT pipelines for clinical, analytics, ML and regulatory use cases.
• Develop and maintain clinical data warehouses/data lakes with strong traceability and data lineage.
• Build maintainable and testable solutions using Python and SQL.
• Work with medical imaging data and DICOM standards.
• Deploy and integrate pipelines within AWS environments using CI/CD.
• Implement data validation, quality controls, monitoring and documentation.
• Maintain data integrity and traceability in line with ALCOA+ and 21 CFR Part 11 principles.
• Support data security, privacy and sovereignty requirements.
• Produce technical documentation supporting validation, version control and change management.
• Collaborate with Data Scientists, Software Engineers, Clinical Operations and Quality/Regulatory teams.
• Help establish data-engineering standards and best practices across the clinical data function.

Skills

Python

SQL

AWS

CI/CD

Data quality

Data lineage

DICOM

Regulatory compliance

Communication

Education

Bachelor's degree in Computer Science, Information Systems or related discipline

Master's degree preferred

Tools

Terraform

Redshift

Lambda

Job description

Lead Group seeks an experienced Clinical Data Engineer to design scalable data pipelines and image-intake infrastructure for clinical evidence generation. You’ll collaborate with Data Science, Clinical Operations, Software Engineers and Quality/Regulatory teams to turn complex requirements into production-ready data solutions.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and AWS experience with CI/CD.