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Durham University’s Nomis team seeks a Data Operation Specialist to support the delivery and development of the Nomis service. You will work with complex statistical data in a live production environment, processing datasets, updating databases, and performing quality checks and testing.
The role supports flexible, remote and on-site work within the Geography department, with a fixed-term contract for nineteen months ending 31 March 2028. A competitive benefits package accompanies the role.
We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process.
We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role.
If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on e.recruitment@durham.ac.uk
Job Description
Data Operation Specialist - Nomis (
Department of Geography
Fixed Term - Full Time
Contract Duration : N/A
Working Arrangements : TBC
Disclosure and Barring Service Requirement : Not Applicable.
The University
At Durham University we are proud of our people. A globally outstanding centre of educational excellence, a collegiate community of extraordinary people, a unique and historic setting – Durham is a university like no other. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things professionally and personally.
Across the University we have a huge variety of roles and career opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally.
We would be thrilled if you would consider joining our thriving University. Further information about the University can be found here .
Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page .
The Role and the Department
Nomis ( www.nomiseb.co.uk ) is a national statistical dissemination service delivered by Durham University on behalf of the Office for National Statistics (ONS). It provides access to major official statistics on population, society and the labour market, and is used extensively by government departments, local authorities, researchers, academic institutions and other organisations across the UK.
The service supports a range of high-profile datasets and provides a trusted route to detailed statistical information used in analysis, planning and decision-making. Joining the Nomis team offers the chance to contribute to a nationally important data service with a wide external user base and clear public impact.
The Data Operations Specialist will play an important role in supporting the delivery and development of the Nomis service as part of a small team. The postholder will work with complex statistical data in a live production environment, helping to process and maintain datasets, update databases and reference tables, carry out quality checks and testing, and support data and website releases.
The role offers valuable practical experience for someone with strong data-handling and technical skills who wants to deepen their experience of structured data processing, SQL, Python, Linux and data quality within a specialist and nationally significant service.
The role offers the opportunity to work flexibly as well as remotely and on-site within the Geography department.
Further information about the role and the responsibilities is at the bottom of this job description.
This post is fixed term for nineteen months. The funding for the project is time limited and will end on 31st March 2028.
Working at Durham
A competitive salary is only one part of the many fantastic benefits you will receive if you join the University:
Discover more about our total rewards and benefits package here .
Durham University is committed to equality, diversity and inclusion
Our collective aim is to create an open and inclusive environment where everyone can reach their full potential and we believe our staff should reflect the diversity of the global community in which we work. As a University equality, diversity, and inclusion (EDI) are a key part of the University’s Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive.
We welcome and encourage applications from members of groups who are under-represented in our work force including people with disabilities, women and black, Asian and minority ethnic communities. If you have taken time out of your career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role.
Contribute to equality, diversity and inclusion, and the University’s values.
Provide specialist advice and guidance relating to your professional area of expertise in line with the University’s policies, regulations and values.
Operat e as a point of expertise for colleagues and other stakeholders, helping to interpret and resolve complex data processing, data handling and technical support problems.
Manage the delivery of Nomis data extraction, transformation and loading (ETL) pipelines, including modifying data processing routines, to a high standard.
Provide the best possible service by continually reviewing what is required from colleagues, data suppliers and Nomis customers and contribute to ideas and service improvements.
Provide specialist knowledge and support when interpreting and analysing complex data and information sources.
Look for ways to improve processes, techniques and outputs/results including runing and modifying quality assurance scripts, across all areas of your work.
Planning and Organisation
Plan, manage and deliver assigned projects and activities using appropriate techniques, tools and testing procedures to deliver agreed objectives and solve any problems which you encounter.
Schedule and monitor data processing (ETL), dataset release and related update activities.
Seek feedback from colleagues, data suppliers and Nomis customers so that the service is being planned and adapted to meet customer expectations and future needs.
Contribute to the continuous improvement of processing routines, checking procedures and supporting documentation.
Use your operational expertise to lead and participate in business meetings, working groups and sub-committees.
Provide regular stat us reports on projects and ongoing work to colleagues and ONS data providers, highlighting any risks and contingency plans.
Interact and collaborate with other specialists across the University and in the Office for National Statistics (ONS) to ensure the integrity and delivery of consistent services including the use of modern programming practises, technical methods and standards
Promote and encourage a collaborative approach to problem solving and project delivery in order to motivate, mentor and coach less experienced project staff.
Create positive working relationships, including internal and external networks, using your networks to increase your knowledge and skills and swap information with peers.
Liaise with internal teams, ONS data suppliers, and Nomis customers where required.
Assist with responses to customer support messages, particularly where these relate to datasets, data updates and related technical duties
Any other reasonable duties.
Useful links
If you would like further information you may find the following will help
Nomis website: www.nomisweb.co.uk
Please note that in submitting your application Durham University will be processing your data. We would ask you to consider the relevant University Privacy Statement Privacy Notices - Durham University which provides information on the collation, storing and use of data.
When appointing to this role the University must ensure that it meets any applicable immigration requirements, including salary thresholds which are applicable to some visas.
What you need to demonstrate when you apply/Person Specification
When you apply it is important that you let us know what skills/experience you have from a similar role and/or what skills/experience you have which would make you right for this role. Further information about the role and responsibilities is at the end of this job description. Where a criteria has an asterisk* next to it, it may be given additional weighting when your application is considered.
Qualifications/Experience
Educated to a good numerate degree level (or equivalent experience).
Professional practitioner with knowledge and expertise in data operations, structed data processing and data-driven services.
Experience of participating in internal or external networks to share and discuss good practice and develop strong and productive working relationships.
Experience of delivering and developing data extraction, transformation and loading (ETL) projects to manipulate large, complex numerical datasets.
Experience of providing specialist advice and guidance to a range of customers and colleagues, including more senior colleagues.
Experience of implementing policies and procedures and supporting service improvements.
Skills/Abilities/Knowledge
Excellent spoken and written communication skills including the ability to develop effective working relationships, both internally and externally.
Strong digital competence across a range of digital devices and apps including Linux shell scripting, a modern programming language such as Python, relational databases/SQL, and manipulating data in spreadsheets.
Committed to continuing professional development to maintain professional recognition.
Professional knowledge and experience of compliance and regulation, especially an understanding of data protection and data security.
Ability to solve problems and decide on and plan appropriate solutions.
Ability to play a key role in the delivery of data processing and dissemination projects.
Knowledge and experience of ensuring compliance with regulatory and organisational policy and guidelines.
We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process.
We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role.
If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on e.recruitment@durham.ac.uk