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# Engineering Technician (UG - Engineering Data Science))

- **Company:** Yorkshire Water
- **Location:** Bradford, UK
- **Salary:** £27,051.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Data Analysis, Computerized Maintenance Management Systems, Microsoft Office, Microsoft PowerPoint, Raw Data, Power BI, Data Analytics, SAP S/4HANA
- **Published:** June 20, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=be6a8d66d877bb8f

## About the Role

Do you have experience in Wastewater treatment?, * Demonstrable analytical and reporting skills

 * Ability to seek out information from a field of raw data, to interpret the information and provide intelligence to decision makers.
 * User of Microsoft Office 365 programs including Power Bi, Excel, Word and PowerPoint
 * Experience of developing and maintaining effective internal and external relationships
 * Strong organisational and communication skills
 * Excellent time management skills.
 * Report writing and presentation skills
 * Experience of projects, partnership working and financial management
 * The ability to demonstrate the Yorkshire Water company values and behaviours

You will also benefit from having:

 * Previous experience in a using SAP S4/Hana for reporting and data analysis
 * Previous experience gained within the water or waste water sectors or within the broader utilities, process or manufacturing industry sectors

## Description

* Building, developing, improving, simplifying performance dashboards both Engineering, Complex Maintenance and Engineering Design /Assurance teams
 * Developing and presenting timely reports on maintenance adherence to plan spanning various business units, asset groups, timeframes and engineering disciplines.
 * Providing feedback to stakeholders to ensure data quality within the company's CMMS as well as asset condition monitoring platforms.
 * Compiling, analysing, and interpreting CMMS data to develop and present on accurate predictions.
 * Gathering and organising data from various sources, including maintenance logs, work orders, and sensor readings, to create comprehensive datasets.
 * Collaborating with cross-functional teams to recommend and implement data-driven solutions to improve maintenance strategies, workflows, and resource allocation.

 * Gather and organise data from various sources, including site visits, maintenance logs, work orders, and sensor readings, to create comprehensive datasets.


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