Nocn Group
Data Engineer
NOCN Group (an education/skills charity) is hiring a Data Engineer in its Digital Services team to design, build and maintain data pipelines and integrations, model trustworthy data in ClickHouse, and use AI tooling to speed up data work. Mostly remote with occasional office days in Sheffield.
- Compensation
- Not disclosed
- Location
- Sheffield, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Level 2 in Literacy and Numeracy
- Degree in Computer Science, Data, Engineering, Maths or related discipline OR equivalent practical experience
- 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 in this area
- Python for data engineering, scripting and analysis
- Able to turn data into clear insight for non-technical audiences (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
Full description
NOCN Group is an international charity which delivers future-fit skills solutions with social impact for colleges, training providers, employers and individuals. To find out more, visit our website.
Overview of the role
We are seeking a motivated and professional Data Engineer to join our Digital Services team.
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.
Key Responsibilities
- 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.
About You
- 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).