Data Engineer: Build AI-Ready Materials Data Pipelines

CuspAI; Amsterdam; On-site; EUR 55,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Equity in CuspAI

28 days holiday

Gold Standard parental leave

Professional development budget

Job summary

CuspAI in Amsterdam is seeking a Data Engineer to drive research efforts by building infrastructures crucial for chemical data and AI models. In this role, you will design data pipelines, ensure data quality, and collaborate closely with researchers to support materials science challenges.

Ideal candidates have experience in data engineering, proficiency in Python, and a passion for scientific applications of AI. This position offers opportunities for professional development and impactful work in a diverse, collaborative environment.

Qualifications

• 3+ years experience in data engineering roles preferred in scientific environments.
• High proficiency in Python, with hands-on experience in data processing.
• Experience with containerisation, CI/CD practices, and large-scale datasets.

Responsibilities

• Build data pipelines for diverse chemical datasets.
• Implement quality checks and standardisation protocols.
• Collaborate with ML researchers and scientists for accurate data usage.

Skills

Data engineering experience

Proficiency in Python

Large-scale data processing

Workflow orchestration tools

Containerisation skills

DevOps knowledge

Education

Degree in Materials Science, Chemistry, or related field

Tools

Airflow

Docker

Kubernetes

Job description

CuspAI in Amsterdam is seeking a Data Engineer to drive research efforts by building infrastructures crucial for chemical data and AI models. In this role, you will design data pipelines, ensure data quality, and collaborate closely with researchers to support materials science challenges.

Ideal candidates have experience in data engineering, proficiency in Python, and a passion for scientific applications of AI. This position offers opportunities for professional development and impactful work in a diverse, collaborative environment.