Data & Analytics Engineer: Power BI & ETL Pipelines

Oxford Instruments Plc; Marsh Common; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

25 days annual leave plus half-day"s

Private healthcare

Share incentive plan

Pension scheme

Flexible benefits

Structured career development

Job summary

Oxford Instruments Plasma Technology is seeking a Data & Analytics Engineer to design, build, and maintain scalable data pipelines and analytics models. You will shape our data capabilities and contribute to business intelligence across the organization.

You will collaborate with stakeholders, optimise data architectures, and empower advanced analytics including AI initiatives. A strong background in Python, SQL, Django, and Power BI will drive success in this role.

Qualifications

• Degree qualified in a Data science, Computing and/or Physics related discipline with proven relevant experience since graduating.
• Equivalent industry experience in data engineering or analytics.

Responsibilities

• Design, build, and maintain robust data pipelines and data architectures.
• Build and optimise analytics models and datasets for business use.
• Develop and enhance Power BI dashboards and reporting solutions.
• Ensure data quality, integrity, and accessibility across systems.
• Support and evolve internal data platforms.
• Collaborate with stakeholders to translate business needs into data solutions.
• Enable advanced analytics and data science initiatives.

Skills

Python development

Power BI

SQL

Data governance

Stakeholder management

Cloud platforms

Generative AI

Education

Degree in Data Science/Computing/Physics

Equivalent industry experience in data engineering/analytics

Tools

Django

Power BI

Job description

Oxford Instruments Plasma Technology is seeking a Data & Analytics Engineer to design, build, and maintain scalable data pipelines and analytics models. You will shape our data capabilities and contribute to business intelligence across the organization.

You will collaborate with stakeholders, optimise data architectures, and empower advanced analytics including AI initiatives. A strong background in Python, SQL, Django, and Power BI will drive success in this role.