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Posted 8 hours ago

Data Engineer

CuspAIData Engineer

Perks & benefits

Annual LeaveHealth InsurancePaid Leave

Requirements

3+ years data engineering experience, Proficiency in Python, Database expertise, Workflow orchestration tools, Docker and Kubernetes, CI/CD practices

Skills

PythonDockerKubernetesAirflow

About the role

About the Company

CuspAI is a frontier AI company on a mission to solve the breakthrough materials needed to power human progress. We are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia, working on challenges including energy, clean water, the future of compute, and carbon capture.

Responsibilities

  • Design and build robust data pipelines for materials science datasets, experimental results, and computational chemistry outputs
  • Develop processes to integrate diverse data sources including materials databases, literature, patent filings, and laboratory instruments
  • Create automated workflows for processing crystallographic data, molecular structures, and materials properties
  • Build scalable systems to handle high-throughput computational chemistry calculations and experimental data
  • Partner with scientific teams to implement automated quality checks and standardization protocols
  • Work with ML researchers to understand data requirements for model training and inference
  • Integrate with laboratory automation systems and computational chemistry software

Requirements

  • 3+ years of experience in data engineering roles
  • High proficiency in Python and databases
  • Experience with large-scale data processing
  • Advanced use of workflow orchestration tools (e.g., Airflow, Prefect, Dagster, or Flyte)
  • Solid experience with containerization (Docker, Kubernetes) and CI/CD practices
  • Experience handling large/complex datasets
  • Understanding of DevOps practices

Preferred Qualifications

  • Experience with data from scientific computing (simulations or experiments)
  • Knowledge of machine learning data requirements and MLOps practices
  • Academic background in Materials Science, Chemistry, or Chemical Engineering
  • Understanding of crystallography and computational chemistry concepts

Benefits

  • Competitive salary and equity in CuspAI
  • 28 days holiday (UK)
  • 'Gold Standard' parental leave: 26 weeks primary/12 weeks secondary at full pay
  • Professional development budget
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Data Engineer

CuspAI · London

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