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Data Engineer (Fabric)

HAYS Specialist Recruitment
Sheffield, United Kingdom
Last week
£40,000 – £55,000 pa
Applications closed

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Salary

£40,000 – £55,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last week)

Benefits

15% pension
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Data Engineer (Fabric)

Sheffield City Centre (On-site + 1 day home working)

Up to £55,000 + 15% Pension

Your new role

Working closely with stakeholders across the UK, US and European businesses, you will help ensure data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction of the data platform as it continues to mature.

Responsibilities

Champion data innovation within a forward-thinking manufacturing environment, integrating insights from energy systems, operational technology, ERP, and CRM platforms to drive operational improvement and support smarter financial and strategic decision-making

Design, build, and continuously improve scalable end-to-end data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers

Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight

Collaborate closely with stakeholders across the organisation to translate business requirements into practical data solutions and support analytics projects from discovery through to adoption and business use

Shape and evolve platform standards, governance, and security practices while maintaining high levels of data quality, reliability, and performance, continuously identifying opportunities to improve tools, processes, and ways of working, and actively developing your own technical and professional capability

Experience needed

Hands-on experience with Microsoft Fabric, including Lakehouse, Dataflows, Notebooks, Pipelines, and workspace management, with the ability to design and support scalable data solutions across ingestion, transformation, and presentation layers

Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models

Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques

Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms

Proficient in preparing and validating real-world datasets, including cleansing, handling missing or duplicate records, standardising inputs, and performing exploratory analysis using Excel

Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master data concepts, and business process integration

Strong, clear communicator able to translate complex technical topics into simple, meaningful insights and narratives for a range of audiences

Strong stakeholder engagement skills, building trusted relationships across business and IT teams

Proactive and self-driven, with the ability to take ownership of work and see it through to completion

Structured thinker with a logical approach to problem-solving and analysis

Open to feedback and continuous improvement, with a growth mindset

Desirable certifications (Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer Associate, Microsoft Fabric Data Engineer Associate)

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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