Warning This job advert has expired and applications have closed.

Data Engineering Manager

Posting date:	03 March 2025
Salary:	Not specified
Additional salary information:	Negotiable
Hours:	Full time
Closing date:	26 March 2025
Location:	London, EC1V 2PD
Company:	NHS Jobs
Job type:	Permanent
Job reference:	C9273-DS-7046946

Summary

Leadership Provide leadership and direction to the service, including the wider directorate and business teams Mentor, coach and line manage the Data Engineering team and services (including any managed services) - developing their skills and capabilities to meet the needs of the organisation and healthcare partners, as well as building on existing recruiting capabilities to address new needs or skill gaps Availability and capacity management Create and be responsible for data engineering policy and strategy for service and capacity management, and the implementation of required changes Responsibility for ensuring the data engineering standards and procedures are met across teams and managed service providers, identifying capacity issues, interdependencies, stipulating the required changes and instigating these. Communicating between the technical and non-technical Listen to the needs of technical and business stakeholders, and interpret them, mediating between people and mend relationships working with stakeholders at all levels Effectively manage stakeholder expectations including with discussions about risk and complexity, even within constrained timescales Manage active and reactive communication Support or host difficult discussions within the team or with diverse senior stakeholders Continual service improvement Identify, develop and lead complex service improvements and ensure we operate within agreed policy and standards. 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 confirmed 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 Perform horizon-scanning for the organisation and introduce innovative ways of working Data integration design Establish standards, keep them up to date and ensure adherence to them Keep abreast of best practice in industry Data modelling Understand the concepts and principles of data modelling and can produce relevant data models Work across healthcare 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 Data operations Ensure the data operational environment is maintained to the highest standards, with appropriate monitoring and coverage, automating remediation action(s) where possible and the team adhere to these. Ensure high-quality data knowledge documentation is kept across the team and services, and policy and standards are adhered to. Partner with other enabling technology teams to ensure we provide a fit-for-purpose, performant data service to users that is continually improving. Financial management Understand how to balance cost versus value Consider the impact of user needs Budget authority and report on the financial delivery of your services (pay and non-pay), and manage non-pay contracts Monitor cost and budget for your services (pay and non-pay) and know how and when to escalate issues Governance Ensure the data operational service and engineering practices work within policy, standards, processes and procedures. Ensure secure by design, and clinical safety principles and governance is adhered to, and partner with specialist teams (information governance, information security, etc) all to ensure successful outcomes. Ensure that all engineering and operational activity is adheres to our IT service and operational policy, processes, and procedures. Metadata management Design, establish and operate an appropriate metadata repository Lead continual improvement changes to metadata repositories, and setup robust governance processes to keep repositories up to date Understand a range of tools for storing and working with metadata Advise less experienced members of the team about metadata management Ownership You take accountability for issues that occur and be proactive in searching for potential problems. You know how to achieve excellent user outcomes and embed this into the work of your team and service. Problem resolution (data) Anticipate problems and defend against them at the right time Understand how a problem fits into the larger picture Identify and describe problems, and help others to describe them Build problem-solving capabilities in others Programming and build (data engineering) Set local or team-based standards for programming tools and techniques, and can select appropriate development methods Advise on the application of standards and methods and ensure compliance Take technical responsibility for all stages and iterations for data engineering products / services, providing method-specific advice and guidance to stakeholders. Relationship management Influence stakeholders and manage relationships effectively Build long-term strategic relationships Facilitate and deliver business outcomes. Service focus See the bigger picture and investigate how to get the best out of the underlying services to support the organisations strategic objectives and business priorities Service reporting You can use your data analytics skills to enhance business performance Strategic thinking Define strategies and policies across the IT Operations teams and provide guidance to others on working in the strategic context Evaluate current strategies to ensure business requirements are being met and exceeded where possible Create, develop and maintain operating procedures and policies for data, and contribute to the development of enterprise-wide policies and operating procedures (where they span multiple teams) Ensure alignment of operating procedures and policies in-line with national, sector (ICS) and industry best practice where it makes sense to do so Technical understanding Anticipate and advise on future technology changes that represent opportunities for the products or services Testing Review requirements and specifications, and define test conditions Identify issues and risks associated with work Analyse and report test activities and results User focus Collaborate with user researchers and can represent users internally Explain the difference between user needs and the desires of the user Champion user research to focus on all users Prioritise and define approaches to understand the user story, guiding others in doing so Offer recommendations on the best tools and methods to use Community of practice Develop and maintain a network of professionals to enable continuous learning and a community which can share, learn, and keep up to date on the broader technology and data landscape Other Duties: Deputise for the IT Operations Senior Management Team (SMT) as required Occasional work may be required outside of core business hours to support major projects / programmes All other reasonable requests