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Lead Data Engineer
| Dyddiad hysbysebu: | 17 Mai 2024 |
|---|---|
| Cyflog: | £50,952.00 i £57,349.00 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | £50952.00 - £57349.00 a year |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 29 Mai 2024 |
| Lleoliad: | York, YO1 6GA |
| Cwmni: | NHS Jobs |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | D9857-24-0020 |
Crynodeb
To be responsible for the development of the ICB Data Warehouse Architecture, data modelling and wider data engineering team, using Azure Data Lake and various Business Intelligence systems within the Microsoft stack. Communication between the technical and non-technical listen to the needs of technical and business stakeholders, and interpret them effectively manage stakeholder expectations manage active and reactive communication support or host difficult discussions within the team or with diverse senior stakeholders Data analysis and synthesis understand and help teams to apply a range of techniques for data profiling source system analysis from a complex single source bring multiple data sources together in a conformed model for analysis Data development process establish enterprise-scale data integration procedures across the data development life cycle, and ensure that teams adhere to them manage resources to ensure that data services work effectively at an enterprise level Data innovation identify areas of innovation in data tools and techniques, and recognise appropriate timing for adoption Data integration design establish standards, keep them up to date and ensure adherence to them keep abreast of best practice in industry and across health Data modelling understand the concepts and principles of data modelling and can produce relevant data models work across government and industry, recognising opportunities for the reuse and alignment of data models in different organisations design the method to categorise data models within an organisation Metadata management design an appropriate metadata repository and present changes to existing metadata repositories understand a range of tools for storing and working with metadata provide oversight and advice to more inexperienced members of the team Problem resolution (data) ensure that the most appropriate actions are taken to resolve complex problems as they occur co-ordinate teams to resolve problems and to implement solutions and preventative measures Programming and build (data engineering) use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations collaborate with others to review specifications where appropriate Technical understanding show a thorough understanding of the technical concepts required for the role, and can explain how these fit into the wider technical landscape Testing review requirements and specifications, and define test conditions identify issues and risks associated with work analyse and report test activities and results Managing third parties (e.g. sub-contractors, interims) to ensure deliverables are met in a timely manner and within budget. Leading on the technical management and planning with providers of data management services. Will provide training in own area of work to other professionals from a range of backgrounds as required. Will be required to manage staff aligned to various programmes of work as required. Contribute to the strategic planning of new pathways of care, through provision of accurate and timely performance data and development of data flows, ensuring close alignment of data strategies across the organisation and wider system. Plan and organise a range of complex projects including data management, data modelling, data governance and data flows across the organisation. Plan and organise a broad range of complex activities, formulates and adjusts plans/strategies. To represent the programme in relevant technical forums, both internally and externally of the HNY partnership. To be responsible for managing and prioritising own workload, and that of the data engineering team, to meet internal and external demands.