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| Job Location | Manchester |
| Education | Not Mentioned |
| Salary | £35,538 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data Engineer Manchester£35,538 per annum plus a fantastic benefits packagePermanent, 35 hours per weekOur client is passionate about working together to improve lives and help their communities thrive. They see the difference their work makes across their great city every day. Join their business to be part of a team that is transforming the way they work and use technology to help their people and customers engage with them in an easier and more meaningful way.As part of modernising their business and preparing for the future, they are under-taking several critical projects in the area of corporate IT and data services. These include cloud migration, network & telephony refresh, agile working, colleague experience, data and integration.As a Data Engineer you’ll be responsible for designing, implementing and improving their data management infrastructure that underpins the success of the business. You’ll be part of their IT team, which sits within the Business Change portfolio.They’re looking for someone with technical experience designing, implementing and supporting data systems within the Microsoft data platform, and integrating with non-Microsoft databases and other data sources. They are also looking for someone who can play an active part in developing their approach to data and system integration, using API’s and system-to-system integration techniques. You’ll have strong core SQL skills (principally T-SQL), with experience in SSRS, SSIS and Azure Data Factory. You’ll have a firm grasp of ETL principles and construction of data pipelines. You’ll be able to design and support Power BI data models and have some experience of consuming those models. They’d be delighted if you have experience or familiarity with the wider Microsoft Power platform, or Microsoft Azure more generally.You’ll have experience contributing to and supporting these functional activities:
Keyskills :
Data Engineering Data Engineering