What are the responsibilities and job description for the Business Intelligence Engineer position at Phyton Talent Advisors?
Our client is seeking a Business Intelligence Engineer to help design, build, and scale modern BI solutions on top of a cloud-based data warehouse. This role is ideal for someone who has hands-on experience engineering BI systems and data-driven reporting environments, rather than simply building static reports. This individual will play a key role in transforming legacy reporting into scalable, cloud-based dashboards and self-service analytics tools, with a strong focus on supporting Market and Credit Risk reporting in a Capital Markets environment. The ideal candidate will bring strong technical expertise across Snowflake, Sigma, SQL, and data modeling, along with a solid understanding of end-to-end BI architecture and implementation.
Key Responsibilities:
- Build and engineer scalable Business Intelligence systems on top of a cloud data warehouse
- Convert traditional or legacy reporting into modern cloud-based dashboards, visualizations, and reporting tools
- Design and deliver self-service BI solutions that empower business users and stakeholders
- Develop and optimize data models, reporting layers, and BI architecture to support scalable analytics
- Partner closely with both business and technology teams to deliver reporting solutions aligned with business needs
- Support the development of risk reporting solutions, with a focus on Market Risk and Credit Risk use cases
- Ensure BI solutions are designed for usability, scalability, and long-term maintainability
- Leverage modern development tools and AI coding assistants/agents to improve development efficiency and productivity
Required Qualifications:
- Proven experience in engineering and building BI systems, not just creating reports or dashboards
- Hands-on experience with cloud BI platforms, including: Sigma (required), Astrato (strongly preferred)
- Strong experience with Snowflake
- Advanced SQL and data modeling skills
- Strong understanding of BI architecture and end-to-end implementation
- Experience working with Market Risk and/or Credit Risk data
- Background within Capital Markets or broader Financial Services
- Experience using AI coding assistants or AI development tools