We are seeking a skilled Lead Data Engineer to work on a large scale Data and Analytics Platform which will enable health and care organisations store, access and analyse data effectively and secure.
Day to day activities Lead the design and implementation of scalable, reliable data pipelines and data platforms in the Google Cloud Platform.
Collaborate with data scientists, analysts, and other engineering teams to define data requirements and optimize data workflows.
Oversee the deployment and integration of data systems on the Google Cloud Platform.
Ensure the security, compliance, and performance of Google Cloud Platform data solutions.
Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions.
Mentor and guide Senior Data Engineers, contributing to team skill growth and knowledge sharing.
Essential Experience Experience in cloud platform as a service (PaaS).
Ability to communicate between technical and non-technical stakeholders, managing expectations and supporting difficult discussions.
Ability to support teams to apply a range of techniques for data profiling, undertake source system analysis and bring multiple data sources together.
Can establish enterprise-scale data integration procedures across the data development life cycle.
Ability to manage resources to ensure that data services work effectively.
Can identify areas of innovation in data tools and techniques.
Ability to establish and maintain standards, remaining informed of industry best practice.
Can understand concepts and principles of data modelling and produce relevant data models.
Ability to recognise opportunities for the reuse and alignment of data models.
Ability to solve problems with the most appropriate actions providing co-ordination of teams to implement solutions.
Can use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts, collaborating with others as appropriate.
Have a clear understanding of the technical concepts required for the role and how these fit in the wider technical landscape.
Ability to review requirements, define test conditions, identify issues and risks and analyse and report test activities.
Experience with Google Cloud Platform for data and analytics.
Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management.
*Rates depend on experience and client requirements