Data Engineer: Build AI-Ready Materials Data Pipelines

CuspAI; Amsterdam; In loco; EUR 55.000 - 80.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Equity in CuspAI

28 days holiday

Gold Standard parental leave

Professional development budget

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

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

Conoscenze

Data engineering experience

Proficiency in Python

Large-scale data processing

Workflow orchestration tools

Containerisation skills

DevOps knowledge

Formazione

Degree in Materials Science, Chemistry, or related field

Strumenti

Airflow

Docker

Kubernetes

Descrizione del lavoro

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.