Job Search and Career Advice Platform

Enable job alerts via email!

Senior Data Engineer

Manchester Metropolitan University

Manchester

On-site

GBP 45,000 - 60,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A prominent university in the UK is seeking a Senior Data Engineer to lead the design and development of its Azure-based CDDR platform, supporting research initiatives. The role requires proven experience in data warehousing, familiarity with Azure services, and strong communication skills. You will work collaboratively with researchers and IT colleagues to deliver scalable, high-performing data solutions. This is an exciting opportunity to shape modern data architecture and engage with the latest analytical technologies.

Qualifications

  • Proven experience in designing and managing data warehousing platforms.
  • Familiarity with Microsoft Azure services.
  • Strong understanding of modern data architecture and ETL/ELT processes.
  • Excellent communication skills for engaging with technical colleagues.

Responsibilities

  • Lead the design and optimisation of the University's Azure-based CDDR platform.
  • Implement and manage data pipelines and architectures for advanced analytics.
  • Promote best practices in design, data governance, and automation.

Skills

Data warehousing experience
Microsoft Azure
Data ingestion
Communication skills
Collaboration

Tools

Azure Data Lake
Synapse Analytics
Azure SQL
Azure Data Factory (ADF)
Job description
About the Role

As the dedicated Senior Data Engineer for CDDR, you will:

  • Lead the design, development, and optimisation of the University's Azure-based CDDR platform to support research and institutional data initiatives.
  • Design, test, implement and manage data pipelines, CDDR Lakehouse and data warehouse architectures to enable advanced analytics and AI-driven research.
  • Work collaboratively with academic researchers, dedicated data scientists, and other IT colleagues to contribute to delivering secure, scalable, and high-performing data solutions in the Azure.
  • Promote and champion best practices in design, data governance, security, and automation.
  • Engage with our Azure Cloud Operations Team to ensure the required platform is scalable, monitored by Operations Team, compliant and meets security needs.
About you

You will bring:

  • Proven experience in designing and managing data warehousing platforms, data ingestion and a quality driven approach to pipeline design. You will be familiar with Microsoft Azure, including services such as Azure Data Lake, Synapse Analytics, Azure SQL, and Azure Data Factory (ADF).
  • A strong understanding of modern data architecture, including data modelling, ETL/ELT processes, and supporting advanced analytics and AI workloads.
  • Committed to ensuring that all output is documented, quality controlled and tested, meeting quality standards that are reflected in Manchester Met.
  • Excellent communication and collaboration skills, with the ability to engage effectively with technical colleagues, researchers, and wider stakeholders to understand requirements and deliver impactful solutions.

To learn more about this exciting opportunity and benefits we offer, please read the JD and Candidate Pack provided below.

If you're passionate about architecting and building a modern platform to support MMU's Research, as well as working with the latest technologies, we'd love to hear from you!

Application & Assessment
  • To apply, please submit your latest CV with a cover letter detailing your suitability, on the portal.
  • Due to the volume of applications, we receive, we sometimes close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role. For any informal queries, please contact Dom Chung on d.chung@mmu.ac.uk
  • First stage of assessment will include an informal discussion and second stage will
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.