Data & Analytics Engineer: ETL, BI & Data Platforms

Oxford Instruments Plc; Bristol; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

25 days annual leave + half-day Friday

Private healthcare

Share incentive plan

Pension scheme

Flexible benefits tailored to yourne​

Structured career development

Collaborative environment with work‑l​

Job summary

Oxford Instruments Plasma Technology is seeking a Data & Analytics Engineer to design, build, and maintain scalable data pipelines and analytics solutions that empower data-driven decision-making across the organisation. You will enhance Power BI dashboards and reporting, ensure data quality, and support advanced analytics initiatives.

The role involves collaborating with stakeholders to translate business needs into data solutions and advancing our data platforms, with exposure to modern data

Qualifications

• Degree in Data science, Computing and/or Physics with relevant experience.
• Experience in data engineering or analytics.
• Proven ability to design and implement data pipelines and analytics solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures.
• Develop and enhance Power BI dashboards and reporting solutions.
• Ensure data quality, integrity, and accessibility across systems.
• Collaborate with stakeholders to translate business needs into data solutions.
• Enable advanced analytics and data science initiatives.

Skills

Python development

Data pipelines

SQL

Power BI

Stakeholder management

Cloud platforms

Data governance

LLMs / Generative AI

C-based languages

Django or similar frameworks

Education

Degree in Data Science/Computing/Physics

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 solutions that empower data-driven decision-making across the organisation. You will enhance Power BI dashboards and reporting, ensure data quality, and support advanced analytics initiatives.

The role involves collaborating with stakeholders to translate business needs into data solutions and advancing our data platforms, with exposure to modern data