3 of 3 Permanent Data Pipeline Jobs in Sheffield

Data Engineer (Fabric)

Hiring Organisation
Hays Specialist Recruitment Limited
Location
Sheffield, South Yorkshire, England, United Kingdom
Employment Type
Full-Time
Salary
£40,000 - £55,000 per annum
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 … 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 ...

Junior Data Consultant

Hiring Organisation
Sparta Global Limited
Location
Sheffield, South Yorkshire, Yorkshire, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£24,000
award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety … roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data ...

Data Engineer

Hiring Organisation
Elevation Recruitment Group
Location
Sheffield, UK
Employment Type
Full-time
Description Contract Data Engineer (Azure/Databricks) Remote (UK-based) | Occasional travel to Kent | Outside IR35 | 3-Month Initial Contract Elevation Tech & Transformation are supporting a UK-based organisation undergoing a wider IT and data recovery programme, and they’re looking to bring in an experienced … Data Engineer on a short-term contract to stabilise and improve their current data environment. This is a hands-on role focused on back-end data engineering, working with fragmented and inconsistent data sets to create structure, reliability, and improved data ...