Senior Data Engineer

Manchester Metropolitan University is focused on leverage the most from its data as we embrace, modernise and also to make the most of data from our existing systems as well as emerging platforms.

To support this exciting endeavour, we are seeking a highly experienced and skilled Senior Data Engineer to play a critical role supporting existing data infrastructure, data pipelines and current data required for reporting and analysis across the institution. You will be involved in designing, delivering, and optimising the University's based data warehousing capabilities as well as getting involved with Power BI as we also look to modernise this platform.

In your day to day duties, you will have the opportunity to work and engage with multiple Teams across the University, exhibit and apply your data engineering skillset, alongside the opportunity to be involved in Power BI and to leverage its capabilities. You will have the opportunity to work with current database and platforms as well as contributing to what the future of data enablement will look like for the University.

About The Role

As a Senior Data Engineer at Manchester Metropolitan University, you will:

• Work with other data engineers on the design, development, and optimisation of the University's data ingestion pipelines, optimisation and maintenance of the platform
• Design, test, implement and manage data pipelines for the institutional data warehouse to enable the University to enhance their reporting, insight and advanced analytics.
• Work collaboratively with other member of the Analytics Team, Software Engineering, IT & Digital as well we customers and stakeholders across the University, contributing to delivering secure, scalable, and high-performing data solutions.
• Promote and champion best practices in design, data governance, security, and automation
• Involvement with existing Microsoft and Oracle solutions to support in maintaining existing service delivery as well as contributing to future data solutions.

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 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.

Why Join Us?

Manchester Metropolitan is investing in its research capabilities like never before. This is your opportunity to join at a formative moment, helping shape the technical foundation of a major new research centre. You'll be part of a welcoming and forward-thinking team committed to enabling high-impact research through digital innovation.

We support flexible working and are committed to creating an inclusive and supportive working environment.

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 Process

• 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 [email protected]
• First stage of assessment will include an informal discussion and second stage will be a formal panel interview, details of which will be shared in the invite.

We believe in working together, sharing knowledge and valuing everyone's contributions. Develop your skills, further your knowledge and be part of a team who are transforming lives, every single day!

To know more about our Directorate of IT&D, click here IT and Digital opportunities at Manchester Met | Manchester Metropolitan University

Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups.

Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy. This vacancy is expected to attract a high volume of applications. Therefore, under the Disability Confident Scheme, only disabled people who apply under the scheme and best meet the essential criteria will be offered an interview.

Recruitment Agencies: The University has engaged an approved list of recruitment agencies to support the recruitment of its vacancies from time to time. The University does not accept speculative applications from recruitment agencies outside of this list.

Documents

• JD - Senior Data Engineer.pdf (306.62 KB)
• Candidate Pack.pdf (9.15 MB)

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