Senior Data Platform Engineer — Hybrid, Reproducible Pipelines

CoMind Technologies Limited

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Equity plan
Pension scheme
Private medical/dental/vision
Life insurance
Mental health support
Unlimited holidays
Remote day quarterly
Lunch voucher
Fruit and snacks
YuLife discounts

Job summary

CoMind Technologies Limited is building a non-invasive neuromonitoring platform. You will design the data, compute, and evaluation architecture that scientists can use, turning complex signals into actionable metrics.

The role sits on a small, research-driven team; you’ll work with optical physicists, signal processing experts, and physiologists to ship usable pipelines. The position requires hands-on engineering to enable reproducible analyses and scalable infrastructure.

Qualifications

  • Substantial software or platform engineering experience building tooling for scientists or researchers
  • Deep Python and pipeline/workflow systems emphasizing correctness and reproducibility
  • Cloud compute and storage (AWS preferred), containerisation, infrastructure-as-code, cost-aware provisioning
  • Tools you built that people chose to use and adoption was earned
  • Ability to work with scientists to abstract analyses correctly and push back on evaluations

Responsibilities

  • Reprocessing: modify a pipeline stage and re-run cost-effectively
  • Evaluation: bespoke harnesses for scientists to compare methods and generate plots
  • Compute and data access: reproducible environments and trusted datasets in scalable cloud resources
  • Engineering standards: CI, tests, and repository structure across a scientist-led codebase
  • Research-to-software boundary: establish gate-like interfaces with the software team
  • Regulatory evidence: IEC 62304 traceability artefacts generated from CI
  • Growing the capability: mentoring junior developers and shaping the function as it grows

Skills

Python
Pipeline systems
Cloud AWS
IaC
Containerisation
Tool adoption
Sci-Eng liaison
Mentoring
Early shipping

Tools

CI tooling

Job description

CoMind Technologies Limited is building a non-invasive neuromonitoring platform. You will design the data, compute, and evaluation architecture that scientists can use, turning complex signals into actionable metrics.

The role sits on a small, research-driven team; you’ll work with optical physicists, signal processing experts, and physiologists to ship usable pipelines. The position requires hands-on engineering to enable reproducible analyses and scalable infrastructure.

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