示例 面向通用数字医疗卫生组织的参考档案,并非正式的职位说明。 关于本参考资料。

首席数据工程师

第 8a 职级 · 数据工程师 · 551 岗位评估分

本文由人工智能助手从英文翻译而来,尚未经过母语人士审校。引自英国政府数字与数据专业能力框架(UK GDaD PCF)和 ESCO 的内容保留英文原文。

UK GDaD PCF 级别:Lead data engineer

最常对应的英国公务员职等:G7。

A lead data engineer is responsible for the design and implementation of numerous complex data flows to connect operational systems, data for analytics and business intelligence (BI) systems.

At this role level, you will:

  • recognise and share opportunities to reuse existing data flows between teams
  • be responsible for the build of data-streaming systems
  • co-ordinate teams and set best practice and standards
  • apply knowledge of systems integration to your work
  • champion data engineering across government
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

职责

技能

技能期望等级该等级的含义
Communicating between the technical and non-technicalUK GDaD PCF熟练 (3)

You can:

  • listen to and interpret the needs of technical and non-technical stakeholders, and manage their expectations
  • manage active and reactive communication
  • support or host difficult discussions within the team or with diverse senior stakeholders
Data analysis and synthesisUK GDaD PCF熟练 (3)

You can:

  • 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 compliance and securityUK GDaD PCF专家 (4)

You can:

  • advise senior stakeholders on data security, ethical or procedural risks
  • improve organisational awareness of data compliance and procedures
  • lead, guide and mentor teams in implementing secure data practices and maintaining compliance
Data development processUK GDaD PCF专家 (4)

You can:

  • establish cross-organisational data solutions that include all aspects of the data development life cycle
  • define and promote good practices for creating repeatable, reliable and reusable data solutions
Data innovationUK GDaD PCF熟练 (3)

You can:

  • test and evaluate the feasibility of unfamiliar and emerging technologies, or familiar technologies in new data contexts
  • share what you learn with the organisation, explaining potential benefits, risks, and practical considerations
  • recommend, design and implement innovative data solutions based on organisation objectives, user needs, and operational constraints
Data integration designUK GDaD PCF专家 (4)

You can:

  • establish cross-organisational data integration standards and design patterns
  • guide teams in designing secure and interoperable systems and services
Data modellingUK GDaD PCF专家 (4)

You can:

  • 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 managementUK GDaD PCF熟练 (3)

You can:

  • design an appropriate metadata repository
  • suggest changes to improve current metadata repositories
  • understand a range of tools for storing and working with metadata
  • advise less experienced members of the team about metadata management
Problem managementUK GDaD PCF熟练 (3)

You can:

  • ensure that the right actions are taken to investigate, resolve and anticipate problems
  • co-ordinate the team to investigate problems, implement solutions and take preventive measures
Programming and build (data and analytics engineering)UK GDaD PCF熟练 (3)

You can:

  • lead the design, code, testing and deployment of secure, resilient and maintainable solutions
  • continuously improve the codebase and reliability of solutions
  • create automation to improve the software development life cycle
  • work with others to implement standards and good practice to ensure security, testability and maintainability of solutions
了解医疗卫生和照护服务本参考资料熟练 (3)

您可以:

  • 分析一项服务如何融入跨组织的照护路径
  • 与临床医生、照护人员和患者合作塑造数字服务
  • 解释数字决策对照护、安全和员工工作量的影响
信息治理与数据保护本参考资料熟练 (3)

您可以:

  • 领导数据保护影响评估和信息共享协议
  • 就合法依据、同意、保密和保存向团队提供建议
  • 调查事件并提出改进建议
健康数据互操作性本参考资料熟练 (3)

您可以:

  • 使用 FHIR、HL7 第 2 版和消息模式设计和构建集成
  • 编写 FHIR 资源和实施指南并为其制定规范
  • 解决系统之间复杂的映射和数据质量问题
临床术语与分类本参考资料胜任 (2)

您可以:

  • 为数据项或表单查找并使用正确的代码
  • 使用术语浏览器和参考集
假名化与披露控制本参考资料熟练 (3)

您可以:

  • 设计将标识符与分析数据分开保存的假名化和关联方法
  • 评估数据集或出版物的再识别风险,并选择合适的控制措施
  • 就可信研究环境等安全环境向团队提供建议
临床风险管理本参考资料胜任 (2)

您可以:

  • 参加危害研讨会并为危害日志作出贡献
  • 在您的工作中遵循临床风险管理流程
  • 为临床安全案例提供证据,例如测试结果
人员管理本参考资料熟练 (3)

您可以:

  • 直线管理一个团队,设定目标并开展考评
  • 关注身心健康,管理出勤、绩效和行为
  • 规划团队的发展和继任

典型资质与经验

第 8a 职级概要

知识
对一门学科及其管理有专家级知识。
自主性
为一项服务解读组织政策;确定团队方向。
范围
一个服务领域,或整个组织中的一门学科。
领导力
管理一个团队,或在没有直线管理职责的情况下领导一门学科。
问责
一个服务领域及其员工和预算。

岗位评估(示例)

因素等级等级概述分数
沟通与人际关系技能5传递需要成熟说服和谈判技能的高度复杂或有争议的信息,向大型群体演讲,或在接受方面存在重大障碍时进行沟通。45
知识、培训和经验7覆盖整个专业领域的高度发达的专门知识(硕士水平或同等)。196
分析与判断技能5对需要分析、解读和比较方案的高度复杂事实或情况作出判断。60
规划与组织技能4规划范围广泛的复杂活动或战略,并根据需要进行调整。42
身体技能2通过练习获得的技能,例如标准键盘操作或驾驶。15
对患者和服务对象照护的责任1在偶然接触中帮助患者、服务对象或亲属。4
政策与服务发展的责任4实施政策,并为一项服务或多个领域制定政策或服务。32
对财务和实物资源的责任2经手现金或贵重物品,保管他人使用的设备,管理库存,或批准小额付款。12
对人员的责任3日常管理一组员工,讲授核心或专门培训,或提供核心人力资源建议。21
对信息资源的责任5设计和开发主要信息系统,或以运行多项服务的信息系统为主要职责。34
对研究与开发的责任2作为工作的一部分,定期开展研究、开发、试验或设备与系统测试。12
行动自由度5在一般政策范围内工作,并在大多数情况下自行决定如何解读。45
体力消耗1坐、站和行走,体力消耗很少。3
脑力消耗4经常长时间专注,或偶尔高度专注。18
情绪消耗1很少接触,或偶尔间接接触令人痛苦的情况。5
工作条件2偶尔接触不良条件,经常出差或户外工作,或大多数日子几乎持续使用屏幕。7
总计(第 8a 职级:540 至 584)551

自我评估

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已评 17 项技能中的 0 项:0 项达到期望等级,0 项低于,0 项高于。

Communicating between the technical and non-technical 期望:熟练
Data analysis and synthesis 期望:熟练
Data compliance and security 期望:专家
Data development process 期望:专家
Data innovation 期望:熟练
Data integration design 期望:专家
Data modelling 期望:专家
Metadata management 期望:熟练
Problem management 期望:熟练
Programming and build (data and analytics engineering) 期望:熟练
了解医疗卫生和照护服务 期望:熟练
信息治理与数据保护 期望:熟练
健康数据互操作性 期望:熟练
临床术语与分类 期望:胜任
假名化与披露控制 期望:熟练
临床风险管理 期望:胜任
人员管理 期望:熟练
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