Senior Data Engineer

The Senior Data Engineer is a critical role supporting the growth of our Data and AI services, This role will work with clients and our team to set out the data engineering best practices and take responsibility for the low-level design and development of client data platforms and ETL/ELT pipelines.

Responsibilities 

1. Technical leadership and development of data platform solutions, including data storage and ETL pipelines to serve data for analytics or ML. Develop and maintain data models, data integration, and pipeline monitoring and support clients to implement best practices and appropriate architectures against their needs.
2. Includes greenfield projects as well as migration and modernisation projects.
3. Set the data engineering best practices and standards for the Data and AI practice, including identifying opportunities for re-usable components and leading their development, maintenance and sharing.
4. Collaborate with stakeholders, including client teams, your wider project team such as Cloud Architect,
5. Scrum Master and BA, and Partner technical representatives (Databricks, Microsoft, AWS) to ensure that data solutions meet business requirements and are scalable, secure, and compliant with organizational policies and standards.
6. Support technical pre-sales to provide guidance on client requirements for proposals, providing guidance on the technical approach and timeframes.
7. Coach and support development of junior data engineers on the team. Potential to take on line management or continue on a technical SME track without direct people management responsibilities.
8. Advance our technology vendor partnerships in the area of data engineering, including maintaining and taking relevant certifications and building relationships e.g. with Databricks product team and solution architects.
9. Contribute to marketing events and thought leadership articles, as well as attending and possibility to present at conferences and webinars.