Job Details

Data Engineer

Pharmacy2U

Latest Job
Expires in 11 days

Overview

We’re the nation’s largest digital pharmacy, working closely with the NHS and other partners to provide a range of healthcare services.
Full time, Permanent, Hybrid
(Full time hours. Our core hours are 09:30 to 16:00; you can work around these to suit you!)
Leeds / Hybrid

Key information

This role is responsible for building scalable, maintainable data solutions that unlock value from our data and strengthen the foundations of our digital ecosystem. It offers a dynamic and challenging opportunity to shape the future of our data platforms while supporting the business in achieving its strategic goals.

We believe great people deserve great support. That’s why we offer a benefits package designed to look after your health, finances, career and life outside work.

We operate a hybrid schedule, meaning 1 day a week in the office based at Thorpe Park, Leeds.

About the role

  • Design and implement data flows to connect production and analytical systems.
  • Create solution and data-flow diagrams, as well as documentation to support governance, maintenance, and usage by internal teams.
  • Ensure adherence to change and release management processes.
  • Communicate with stakeholders to properly understand requirements, translating between technical and non-technical language.
  • Support the development of data products based on varied data sources, using a range of storage technologies and access methods.
  • Assess the current state and recommend appropriate tools and techniques to satisfy new requests.


For the full job description, including the key areas of responsibilities and accountabilities, please click the 'apply now' button.

Requirements

  • Strong experience with Management Information and Business Intelligence Technologies (SSIS, SSRS and SSAS) 
  • Proven experience as a Data Engineer in a similar role
  • Strong interest in learning about Pharmacy2U
  • Ability to translate technical concepts into non-technical language
  • Strong business communication and stakeholder management skills
  • Ability to troubleshoot and debug complex data engineering problems, including performance bottlenecks and data pipeline failures.


Disclaimer: We will be interviewing for this role as suitable applications are received and may close this role before the closing date upon a successful candidate being appointed.