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Data Engineer
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We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Lead Data Engineer
Location: Remote
Duration: Until 24/09/2027
Pay Rate: £660 per day all inc. (PAYE through Umbrella)
Sector: Public
Job Description:
Required Technical Competencies
Advanced proficiency in R, including:
- Data manipulation (e.g., dplyr, data.table)
- Statistical modelling and simulation
- Building reproducible analytical pipelines
- Automated testing and documentation
- Version control using Git/GitHub
Role Summary
Develop, maintain, quality assure and operate the numerical models used to calculate pEPR LA payments & producer fees, ensuring they are robust, transparent, fit for purpose.
Lead the data strategy for the Fees and Payments Calculator teams, identifying data needs, developing processes for gathering and maintaining essential datasets, and working with wider data strategy teams to ensure alignment and reduce duplication.
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Key Responsibilities
- Work collaboratively across PackUK, ensuring data and evidence are used effectively to support decision-making, policy development, and external communications.
- Develop, maintain, quality assure and operate the numerical models used to calculate pEPR fees twice a year, ensuring they remain robust, transparent, and fit for purpose.
- Oversee access to and use of the Report Packaging Data (RPD) portal, coordinating with digital teams and regulators to resolve technical issues, and further develop R-based tools for extracting and analysing producer data.
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Aptitudes / Personal Attributes
The successful candidates will be strong collaborators, able to work effectively with Pack UK teams, digital partners, regulators and external stakeholders.
- You will communicate complex analysis clearly to non-technical audiences and represent Pack UK confidently in industry-facing settings.
- Strong leadership skills are essential, whether managing a small team or coordinating delivery across teams, alongside the ability to build analytical capability and contribute to wider improvement work.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
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