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| Job Location | Cardiff |
| Education | Not Mentioned |
| Salary | £30,000 - £42,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
A motivated Data Engineer is required to join a team within a hugely successful corporate company based in Cardiff utilising Cloud base Data Warehousing. Salary £30,000 - £42,000 Plus Bonus & Benefits PackageAs a Data Engineer for this large & complex corporate company based in Cardiff, you will design, build & enhance data platforms & solutions that provide the business with actionable insights derived from their data.The Data Engineer’s work will include:Planning and achieving sprint tasks from which the technical solutions will be created. These solutions will mean that the business can identify commercial opportunities or understand why they are neededSupporting the data visualisation and data pipelines, ensuring that the services are up to date and the business can rely on themInputting into and managing the data artefacts, which will include planning, task completion, unit testing, peer review, release, meta data, data modelling and deployment. This will ensure that the right controls have been applied whilst maintaining the accuracy of the process’s and controls to maintain quality of workAttending DataOps Design Authority meetings to provide input to the data value delivery methods, providing operational efficiency and fostering effective collaborationBeing responsible for the creation and input of meta data to sufficient levels, to assist the business in understanding what they are able to do with it Converting user stories to technical tasks, translating the business goal to a technical one & enabling the delivery of a technical solutionUsing a number of modern data platform tools set up in an agile delivery method to progress in a journey towards continuous integration and deployment of projects in the cloudSkills & Experience:A proven track record of delivering data engineering solutions including ETL development, data streaming, data integration and analytics The ability to communicate effectively to all levels of stakeholders is essential including the communication of complex data management issues to non-technical stakeholdersHave knowledge of modern data paradigms within the cloud in order to enable a business to maximise its value from dataExperience with some of the following is required - Wherescape, SSIS, ADF, Snowflake, PowerBI, Tableau, RBDMS: Oracle, MSSQL, Postgress, Databricks, Kafka, DataIQ and QuerySurge, JenkinsProven data, ETL, analytics and engineering experienceCan demonstrate logical and lateral thinking considering all angles in decision makingCommunicates clearly and logically using "story telling techniques" via simple language and visuals to suit the audienceInterested candidates need to apply now and can expect initial feedback on their application within 72 hours.