Job Details
Data Engineer
Pharmacy2U
Overview
Do you want to work for the nation’s largest online pharmacy ensuring excellence for all our patients?
£45,000 to £55,000
per year
Full time, Permanent, Hybrid
(37.5 hours per week, with core hours operating between 9:30am to 4pm, Monday to Friday)
Leeds, hybrid working 1 day per week from our Leeds HQ
Key information
Working for a market leading organisation as a Data Engineer, you will be responsible for the design, documentation and delivery of data flows that connect production, and analytical systems.
About the role
What you’ll be doing?
- 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.
- Re-engineer existing data flows to better support scalability.
- Consider non-functional requirements such as auditing and archiving of data.
- Support data quality and master data management, and assist BI developers and software engineers in effectively integrating and reporting on data with accuracy and reliability.
- Respond to support escalations from DevOps and technical colleagues, providing troubleshooting as required.
Requirements
Who are we looking for?
- Experience with cloud data platforms such as Microsoft Azure
- Working with REST APIs
- Must have demonstrated history working as a Data Engineer
- Ability to translate technical concepts into non-technical language
- Familiarity with data governance principles and best practice to ensure data quality, security, and compliance.
- Ability to troubleshoot and debug complex data engineering problems, including performance bottlenecks and data pipeline failures.
- Excellent communication skills, and attention to detail
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.