Data Engineer: AI-Driven Pipelines for Impact (Hybrid)

NOCN

Sheffield

Hybrid

GBP 60,000 - 90,000

Full time

5 days ago

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Benefits offered by this job

Hybrid working

Pension scheme

Wellbeing support

Training and development opportunities

Free parking at both offices

Life assurance

Modern office spaces

Flexible bank holidays

Job summary

NOCN Group is seeking a Data Engineer to join our Digital Services team. This role is classed as remote with weekly office-based work in Sheffield.

You will design, build and maintain data pipelines, model data in ClickHouse, and apply AI tooling to accelerate data setup while ensuring GDPR compliance and data quality. You will collaborate with developers, UX and business colleagues to deliver timely insights and data products across a broad product landscape, including learner tools and

Qualifications

Level 2 in Literacy and Numeracy.
Degree in Computer Science, Data, Engineering, Maths or 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.

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.