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Data & Analytics Engineer

Job Description - Data & Analytics Engineer



 


About the Role

 

We are looking for a Data & Analytics Engineer to join our team and play a key role in shaping our data capabilities. You will design, build, and maintain scalable data pipelines, analytics models, and business intelligence solutions that enable data-driven decision-making across the organisation.

This is an exciting opportunity to contribute to high-impact data products and help advance our analytics and data science capabilities.

 


**_Please note that we are unable to provide visa sponsorship for this position, either now or in the future. Candidates must have the permanent right to work in the UK._**


 

Key Responsibilities


  • Design, develop, 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

  • Drive improvements in data automation and reporting efficiency


 


What You'll Bring


  • Experience in data engineering, analytics, or a related role

  • Experience with BI tools (e.g. Power BI)

  • Understanding of data pipelines and ETL processes

  • Ability to work with stakeholders to deliver actionable insights

  • A proactive approach to problem-solving and continuous improvement

  • Exposure to data science workflows or advanced analytics

  • Knowledge of data governance and best practices


 


Professional Skills / Abilities:


  • Strong experience with Python development

  • Experience building data pipelines and data processing workflows

  • Familiarity with Django or similar web frameworks

  • Experience with Power BI or other reporting/visualisation tools


  • Understanding of data architecture and system integration



  • Exposure/experience with LLMs and other forms of generative AI



  • Strong SQL skills 


  • Exposure to cloud platforms or modern data stacks (desirable)


  • Excellent communication and stakeholder management skills



  • Knowledge of C based languages  (desirable)



 


Education/Qualifications:



  • Degree qualified in a Data science, Computing and/or Physics related discipline with proven relevant experience since graduating



OR



  • Equivalent industry experience in data engineering or analytics.



 


About Us


At Oxford Instruments Plasma Technology, we develop world-leading tools for engineering micro- and nano-scale structures. Our technologies enable innovation across industries, helping customers push the boundaries of science and technology.


 


What We Offer



  • Competitive salary

  • 25 days annual leave + half-day Fridays

  • Private healthcare

  • Share incentive plan

  • Pension scheme

  • Flexible benefits tailored to your needs

  • Structured career development opportunities

  • A collaborative environment with excellent work-life balance


 


Apply now and be part of something extraordinary.


#LI-Hybrid #LI-AC1


 


All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability. We encourage applications from people of all backgrounds and would ask you to get in touch if you are concerned about any barriers you feel you may be facing in your application process with us.


 


Note to recruitment agencies: Oxford Instruments operates a Preferred Supplier List, and we do not accept unsolicited agency CVs. Please do not forward candidate details in response to this advert, or to any Oxford Instruments employees or other company locations. Oxford Instruments is not responsible for any fees related to unsolicited CVs.


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