Senior Business Intelligence Engineer (Data Engineering & Analytics)
We are looking for a Senior BI Engineer with broad experience across enterprise data warehousing, reporting, and analytics platforms to join a long-term enterprise BI modernization program. The environment spans both legacy Microsoft and Cognos technologies as well as modern Azure and Databricks-based data engineering platforms.
The role focuses on legacy BI modernization, cube and report migration, ongoing support, and optimization of existing Microsoft- and Cognos-based analytics environments. Initially, the position is centered on analysis, investigation, troubleshooting, and enhancement of established data flows, reporting solutions, and data warehouse processes, with opportunities to contribute to new ETL/ELT development (ADF+Databricks) and broader analytics modernization initiatives. You will work closely with an established delivery team supporting large-scale reporting and data platform initiatives.
The ideal candidate enjoys solving complex data problems, tracing data lineage across multiple systems, understanding business logic, and improving the performance, reliability, and maintainability of enterprise BI solutions.
Requirements
- 5+ years of experience designing, developing, and supporting enterprise Business Intelligence solutions
- Strong SQL development skills and experience working with relational databases and enterprise data warehouses
- Experience with ETL/ELT development using Azure Data Factory, Azure Databricks, or comparable enterprise data integration platforms
- Experience with enterprise reporting tools such as Tableau or equivalent platforms
- Ability to analyze existing enterprise BI solutions, troubleshoot production issues, and implement enhancements
- Experience working across multiple layers of the BI stack, including data integration, databases, semantic models, and reporting
- Strong analytical, problem-solving, and communication skills
- Experience using AI-assisted agentic tools to improve productivity while validating all generated output
- Professional English communication skills, both written and spoken
Will be a Plus
- Experience with IBM DataStage for ETL/ELT development and with enterprise reporting and analytics tools such as Cognos, ThoughtSpot, Power BI, SSRS, or equivalent solutions
- Experience with semantic models, OLAP technologies, SSAS Multidimensional models, or comparable analytical platforms
Responsibilities
- Design, develop, and enhance enterprise BI solutions
- Analyze existing reporting, ETL, and data warehouse solutions
- Build, maintain, and optimize enterprise data pipelines and transformation processes
- Develop and support semantic models, cubes, and reporting solutions
- Troubleshoot production issues across the enterprise analytics stack
- Participate in analytics modernization and migration initiatives
- Optimize reporting performance, data processing, and solution reliability
- Collaborate with architects, engineers, analysts, and business stakeholders
- Utilize AI-assisted agentic tools to accelerate analysis, documentation, and development while validating all generated outputs
