Data Engineering - Power BI, Python, GCP. Leverage expertise in data visualisation, dashboard development, and data management to deliver products and discover actionable insights.
Requirements
- Data Transformation: Identify, extract, transform, and load (ETL) data from various sources
- Data Asset Management: Stand up and manage data assets, ensuring they are optimised for business intelligence processes
- Data Visualisation/Dashboard Development: Translate complex data sets into clear and meaningful visualisations
- Model Training: Train and deploy Machine Learning models
- Collaboration with Operations Teams: Work closely with operations teams across the bank, understanding their unique data requirements
- Stakeholder Engagement & Management: Be yourself and be prepared to engage with stakeholders at all levels
- Continuous Improvement: Stay curious and committed to learning, keeping up with industry trends and best practices
- Documentation and Reporting: Maintain clear and detailed documentation of BI solutions and processes
Benefits
- opportunities for career advancement
- diversity and inclusion
- tolerant and open culture
- chance to work on engaging projects
- possibility of relocation
