Senior Consultant - Database Engineer

We are seeking a highly skilled Senior Consultant Database Engineer to lead the design, implementation, and maintenance of our large-scale data warehousing project within the wealth management sector. The ideal candidate will have extensive experience in database engineering, data warehousing, and consulting, with a strong focus on optimising data systems for performance, security, and scalability.

• Design and Architecture: Lead the design and architecture of robust, scalable, and secure data warehouse solutions tailored to wealth management needs.

• Data Modelling: Develop and maintain complex data models, schemas, and dictionaries to support business intelligence and analytics.

• ETL Processes: Design, implement, and optimise ETL (Extract, Transform, Load) processes to ensure efficient data integration and transformation.

• Performance Optimisation: Monitor and optimise database performance, including query tuning, indexing, and caching strategies.

• Data Security: Implement stringent data security measures, including access controls, encryption, and regular audits to protect sensitive financial data.

• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and IT staff, to ensure seamless integration and data flow.

• Consulting: Provide expert consulting services to clients, offering insights and recommendations to improve data management practices and achieve business goals.

• Documentation: Create and maintain comprehensive documentation of database designs, processes, and procedures.

• Training and Mentorship: Mentor junior engineers and provide training on best practices in database engineering and data warehousing.

Design and Architecture: Lead the design and architecture of robust, scalable, and secure data warehouse solutions tailored to wealth management needs.

Data Modelling: Develop and maintain complex data models, schemas, and dictionaries to support business intelligence and analytics.

ETL Processes: Design, implement, and optimise ETL (Extract, Transform, Load) processes to ensure efficient data integration and transformation.

Performance Optimisation: Monitor and optimise database performance, including query tuning, indexing, and caching strategies.

Data Security: Implement stringent data security measures, including access controls, encryption, and regular audits to protect sensitive financial data.

Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and IT staff, to ensure seamless integration and data flow.

Consulting: Provide expert consulting services to clients, offering insights and recommendations to improve data management practices and achieve business goals.

Documentation: Create and maintain comprehensive documentation of database designs, processes, and procedures.

Training and Mentorship: Mentor junior engineers and provide training on best practices in database engineering and data warehousing.