FTC Data Engineer (Real World Data)

Medicines and Healthcare products Regulatory Agency
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer - (Finance & Royalties Project - 12m FTC)

Data Engineer with C# Dot net and SQL Server SSIS

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Description

We are currently looking for a (adjective)a Data Engineerto join ourClinical Practice Research Datalink teamin theSafety and Surveillancegroup.

This is afulltimeopportunity on a24month fixedterm contractbasis. The role will be based in 10 South Colonnade Canary Wharf London E14 4PU. Please be aware that this role can only be worked in the UK and not overseas.

Government departments and agencies are working towards implementing a minimum 60% attendance in office sites.

We are currently implementing a flexible hybrid way of working with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role this can flex up to 12 days a month with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly.

Who are we

The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices underpinned by science and research.

The Safety and Surveillance Group brings together into a single integrated structure devices and medicines safety expertise with enforcement capabilities. These functions will be supported by our data and evidence generating capabilities complementing our signal generating capabilities produced via the new Safety Connect System.

Part of the Safety and Surveillance group The Clinical Practice Research Datalink (CPRD) with support from the National Institute for Health and Care Research (NIHR) is the UKs 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.

Whats the role

This roleoffers an exciting opportunity to help build on the CPRDs 30years of providing data for drug safety and epidemiological studies resulting in over 3500 peerreviewed publications investigating drug safety use of medicines effectiveness of health policy health care delivery and disease risk factors. Join us to help support delivery of our realworld research services that inform clinical guidance and best practice.

We are seeking an individual who is experienced in data processing data access and data analysis systems to develop and support endtoend data processing solutions. Responsibilities include developing endtoend Extraction Transform Load (ETL) data processing solutions from data collection through to; maintaining and supporting CPRDs 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 endtoend 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

Oursuccessful candidatewill:

  • Beeducated to degree level or equivalent in either a computer sciencebased ITbased mathsbased or related discipline or equivalent wokrelated 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 organisations specific needs.
  • Have proven ability of designing coding testing correcting and documenting programmes or scripts.

If you would like to find out more about this fantastic opportunityplease read our Job Description and Person Specification!

Please note: The job description may not open in some internet browsers. Please use Chrome or Microsoft Edge. If you have any issue viewing the job description please contact

The selection process:

We use the Civil Service Success Profiles to assess our candidatesfind out more here.

  • Online application form including questions based on theBehaviour Experience and Technical Success Profiles.Please ensure all application questions are completed in full; your application may not be considered if any responses are left blank. Our applications are CV blind and our Hiring Managers will not be able to access your CV when reviewing your application.
  • Test further information will be supplied when you reach this stage.
  • Interview which can include questions based on theBehaviour Experience Technical and Strengths Success Profiles.

Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are scored based on the competencybased answers provided ensure you have read these thoroughly and allowsufficienttime. You can view the competencies for this role in the job description.

Use of AI in Job Applications:

Applicants must ensure that anything submitted must befactually accurate and truthful. Plagiarism can include presenting the ideas and experience of others or generated by artificial intelligence as your own.

If you require any disability related adjustments at any point during the process please contactas soon as possible.

Closing date:Friday 16th May 2025

Shortlisting date:Friday 23rd May 2025

Interview date:Wednesday 11th June 2025 (& Thursday 12th June 2025)

Candidates will be contacted within a week of the sift and the interviews completed to inform them of the outcome.

If you need assistance applying for this role or have any other questionsplease contact

Candidates will be subject to UK immigration requirements as well as Civil Service nationality information on whether you are able to apply is availablehere.

Successful candidates must pass a disclosure and barring security check as well as animal rights and prolife activism checks. People working with government assets must completebasic personnel security standard checks.

Applicants who are successful at interview will be as part of preemployment screening subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicants details held on the IFD will be refused employment. A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.

Any move to the MHRA from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may however be eligible for other government schemes including TaxFree Childcare. Determine your eligibilityhere.

Successful candidates may be subject to annual Occupational Health reviews dependent on role requirements. If you have any queries please contact.

In accordance with the Civil Service Commissioners Recruitment Principles our recruitment and selection processes are underpinned by the requirement of selection for appointment on the basis of merit by a fair and open competition. If you feel your application has not been treated in accordance with the Recruitment Principles and you wish to make a complaint you should firstly contact Florentina Oyelami Head of Talent Acquisition

If you are not satisfied with the response you receive you can contact the Civil Service Commission at:



Civil Service Commission
Room G/8
1 Horse Guards Road
London
SW1A 2HQ



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


Qualifications

Oursuccessful candidatewill:

  • Beeducated to degree level or equivalent in either a computer sciencebased ITbased mathsbased or related discipline or equivalent wokrelated 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 organisations specific needs.
  • Have proven ability of designing coding testing correcting and documenting programmes or scripts.



Required Experience:

Contract


Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type :Contract
Experience:years
Vacancy:1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.