BI Developer

We are looking for a skilled Business Intelligence Developer to join our internal team supporting a key client in the Mining and Construction sector. This role focuses on managing and optimizing large-scale data environments within the Human Capital Management (HR and Payroll) domain, ensuring data integrity, insightful reporting, and seamless integration across multiple systems.

What You’ll Do

• Design, develop, and maintain SQL-based BI solutions to support business decision-making within the HR and Payroll landscape.
• Build and optimize Power BI dashboards and visualizations, ensuring accuracy, clarity, and performance.
• Develop and support SSRS reports and integrations, enabling efficient data flow across enterprise systems.
• Manage and maintain data within multi-terabyte databases, ensuring scalability, performance, and data governance compliance.
• Collaborate with business and technical stakeholders to gather requirements, translate them into technical solutions, and deliver actionable insights.
• Oversee and maintain 80+ data integrations across third-party applications and client line-of-business (LOB) systems.
• Contribute to continuous improvement initiatives across BI architecture, ETL processes, and reporting frameworks.

What We’re Looking For

Experience

• Proven experience with SQL Server and related BI stack components (SSRS, SSIS, SSAS).
• Strong knowledge of Power BI development, including DAX, data modeling, and performance tuning.
• Experience working with large-scale databases (multi-terabyte environments).
• Solid understanding of integration design, ETL pipelines, and automation within complex data ecosystems.
• Experience supporting Human Capital Management systems (HR and Payroll) is highly advantageous.
• Excellent communication skills and stakeholder engagement capability.

Preferred Qualifications

• Degree in Computer Science, Information Systems, or related field.
• Experience in the Mining or Construction industry will be an advantage.
• Familiarity with data warehousing concepts, performance optimization, and data security best practices.