Quantum Data Engineer — Scientific Software & Dashboards

OQC; Reading; Hybrid; GBP 42,000 - 65,000; Full time

Job summary

OQC in Reading, UK is seeking an Associate Scientific Software Engineer to build data foundations powering quantum hardware development. You will develop data pipelines, improve data quality and create tools that transform complex experimental data into actionable insights.

You''ll work alongside scientists and engineers on data from experimental and manufacturing sources, building robust schemas, dashboards and analytics to accelerate innovation.

Qualifications

• A STEM degree in Physics, Mathematics, Engineering or Computer Science.
• Strong Python programming skills.
• Experience with Pandas, NumPy and Jupyter for data analysis.
• Sharp attention to data quality and organisation.
• Analytical mindset with ability to handle complex datasets.
• Collaborative mindset to work with scientists and engineers.

Responsibilities

• Develop and maintain data ingestion pipelines for experimental and manufacturing data.
• Investigate and resolve data quality, validation and ingestion issues to ensure reliable datasets.
• Build and improve database schemas, data models and analytics tools that support engineering teams.
• Create dashboards and visualisations that provide valuable insights into fabrication and measurement processes.
• Collaborate with scientists, engineers and nanofabrication teams to improve data accessibility and decision-making.
• Document systems, data flows and engineering processes to support scalable software development.
• Contribute to scientific software, automation tools and measurement systems that enable quantum hardware development.

Skills

Python

Data analysis

Education

STEM degree

Tools

Pandas

NumPy

Jupyter

Job description

OQC in Reading, UK is seeking an Associate Scientific Software Engineer to build data foundations powering quantum hardware development. You will develop data pipelines, improve data quality and create tools that transform complex experimental data into actionable insights.

You''ll work alongside scientists and engineers on data from experimental and manufacturing sources, building robust schemas, dashboards and analytics to accelerate innovation.