Senior Data Engineer: Medical Imaging AI Pipelines

Harnham

Greater London

Hybrid

GBP 120,000 - 138,000

Full time

35 hours ago
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Job summary

Harnham in London is seeking a Senior Data Engineer to join a hybrid team. You will build and optimize data pipelines for AI and ML initiatives on cloud platforms, delivering scalable data products for analytics.

You will write production-grade Python, design storage and transformation, and collaborate with ML engineers and domain experts to solve complex data challenges. This role combines hands-on engineering with modern software practices, helping drive data-driven innovation across the

Qualifications

  • Experience building scalable data pipelines on cloud platforms.
  • Strong Python and SQL coding for data engineering.
  • Knowledge of ETL/ELT orchestration and data quality.

Responsibilities

  • Build, operate, and automate scalable data pipelines handling large and complex datasets.
  • Design data storage, transfer, and transformation processes within a cloud-based environment.
  • Develop automated ingestion, validation, harmonisation, and quality control workflows.
  • Deliver analysis-ready datasets for machine learning, analytics, and wider technical teams.
  • Write production-grade Python code that is tested, documented, and maintainable.
  • Collaborate with software engineers, machine learning engineers, and domain specialists to solve complex data challenges.

Skills

Python
SQL
ETL/ELT pipelines
Cloud data platforms
CI/CD & DevOps
BigQuery

Tools

BigQuery
Google Cloud
AWS
Azure

Job description

Harnham in London is seeking a Senior Data Engineer to join a hybrid team. You will build and optimize data pipelines for AI and ML initiatives on cloud platforms, delivering scalable data products for analytics.

You will write production-grade Python, design storage and transformation, and collaborate with ML engineers and domain experts to solve complex data challenges. This role combines hands-on engineering with modern software practices, helping drive data-driven innovation across the

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