CPRD Data Engineer (Real World Data)

The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it aims to deliver world class regulation and improved outcomes for UK patients.

We are currently looking for 2 Data Engineers (Real World Data) to join our Clinical Practice Research Datalink team in the Safety and Surveillance group. The Clinical Practice Research Datalink (CPRD), jointly sponsored by the Agency and the National Institute for Health Research (NIHR), is the UK’s preeminent research service providing access to anonymised NHS data for research. In addition to supporting high quality observational research, CPRD has developed world leading services based on using real world data to support clinical trials and interventional studies.

What’s the role? 

This role offers an exciting opportunity to contribute to the UK Government’s premier data-driven research service. We are seeking an individual who is experienced in data processing, data access, and data analysis systems to develop and support end-to-end data processing solutions. Responsibilities include developing end-to-end Extraction Transform Load (ETL) data processing solutions from data collection through to; maintaining and supporting CPRD’s data processing pipelines; ensuring data assets are of high quality and accompanied with appropriate levels of metadata; and identifying optimisations to enable scaling and repeatable use of data.

Key responsibilities:

• Development of end-to-end Extraction Transform Load (ETL) data processing
• Continuous Improvement and Enhancements
• Add value to research datasets
• Assure, monitor, and validate data flows and people management.

Who are we looking for?

Our successful candidate will: 

• Be educated to degree level, or equivalent, in either a computer science-based, IT-based, maths-based, or related discipline, or equivalent wok-related experience.
• Have proven ability of designing, building, and testing data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both.
• Have proven ability of delivering data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable, and future proof.
• Have proven ability of producing, maintaining, and updating relevant data models for an organisation’s specific needs.
• Have proven ability of designing, coding, testing, correcting and documenting programmes or scripts.

Closing Date: Tuesday 10^th October 2023

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