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# Data Engineer

- **Company:** NOCN Group
- **Location:** Sheffield, UK
- **Salary:** £48,077.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Scrum Methodology, Cloud Services, Standard Sql, Information Technology, Vertica, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5880099286

## About the Role

* Level 2 in Literacy and Numeracy
 * Degree in Computer Science, Data, Engineering, Maths or a related discipline OR equivalent practical experience - what you have built matters most.
 * Evidence of continuous professional development in data engineering, cloud data platforms, AI tooling or related disciplines.
 * Experience of operating within an Agile / Scrum, discovery-led environment.
 * Proven experience designing, building and running data pipelines and integrations (ETL/ELT) that shipped and are relied upon.
 * Strong SQL and data-modelling skills, and experience with modern data platforms or warehouses (ClickHouse or similar).
 * Exceptional use of AI tools to set up data resources and support analysis - or clear evidence of being a fast learner with a strong desire to work this way.
 * Python for data engineering, scripting and analysis.
 * Able to turn data into clear insight for non-technical audiences - comfortable with analysis and presenting findings simply (basic stats and visualisation).
 * Confident with data quality, lineage, security and compliance, including GDPR.
 * Able to work closely with colleagues across disciplines, from insight through to delivery.

## Description

Please note that while this role is classed as remote, there will be an element of office-based work in Sheffield once a week/a few times a month.

Reporting to the Group Director - Digital, you will play a key role in delivering high-quality services aligned with NOCN's strategic objectives., * Design, build and maintain data pipelines and integrations that connect previously siloed systems into reliable, reusable data resources.

 * Model and structure data in ClickHouse (and related tooling) so it is trustworthy, well-documented and ready for analysis and product development.
 * Use AI tooling to accelerate the set-up of data resources, automate routine data work and support exploratory analysis - applying human judgement to the outputs.
 * Deliver analysis and data products at pace so ideas can be validated with real evidence within days rather than months.
 * Work in continuous discovery with developers, UX and business colleagues, holding the thread from data need through to delivered insight.
 * Ensure data quality, lineage, security and compliance (including GDPR) across everything you build.
 * Help establish data standards and practices, and mentor others as we build our in-house data capability.
 * Support a broad product landscape - internal AI and orchestration, learner tools, finance, customer support and more.