BI Engineer

You will serve as a key individual contributor within a scrum team dedicated to supporting the B2B entity. Your primary focus will be on designing, building, and maintaining high-quality data products, dashboards, and scalable data transformations. These assets are essential for enabling financial reporting, operational analytics, and data-driven decision-making across the organization.

You will collaborate closely with Finance, Planning, Revenue Operations, Data Engineering, Product, and Analytics stakeholders to translate complex business requirements into trusted and efficient BI solutions. This role demands strong technical expertise, a high degree of ownership, and the ability to deliver reliable data assets that are accurate, performant, and aligned with specific business needs.

• Design, develop, and maintain dashboards, curated datasets, semantic layers, and data marts to support B2B reporting and analytics
• Build and maintain ETL/ELT transformations to ensure data is accurate, timely, scalable, and fit for reporting and analytical use cases
• Translate business requirements into scalable data models and BI solutions that support financial reporting, forecasting, partner operations, and performance tracking
• Perform data validation, reconciliation, and root cause analysis to identify and resolve issues before they impact downstream consumers
• Partner with Data Engineering and upstream system owners to understand source systems, data dependencies, and integration logic
• Optimize queries, data models, and dashboard performance to improve reliability, efficiency, and user experience
• Maintain clear documentation for business logic, source-to-target mapping, metric definitions, and transformation rules
• Support self-service analytics by delivering well-structured, trusted, and understandable data assets
• Participate in sprint planning, solution discussions, design reviews, and delivery activities within the team
• Troubleshoot production issues and implement sustainable fixes to improve the stability and quality of BI products
• Contribute to BI development standards, code quality, testing practices, and team ways of working
• Collaborate with cross-functional stakeholders to align on requirements, clarify logic, and ensure successful delivery

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field (or equivalent practical experience)
• 2+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a related data development role
• Strong SQL skills and solid experience writing efficient, maintainable queries for complex analytical and reporting use cases
• Hands-on experience building dashboards, datasets, and data transformations using BI and data platform technologies
• Solid understanding of data modelling concepts for analytics and reporting, including fact/dimension design, grain definition, and reusable semantic structures
• Experience with ETL/ELT development and orchestration concepts, using tools or scripting languages such as Python, Airflow, or similar technologies
• Strong understanding of data validation, reconciliation, and quality control practices in production BI environments
• Ability to work with large datasets and optimize performance through query tuning, partition awareness, and efficient design patterns
• Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies
• Good understanding of BI development lifecycle, including requirement gathering, design, development, testing, deployment, and post-release support
• Ability to independently own medium-to-large scope tasks, break down ambiguous problems, and deliver practical, scalable solutions
• Strong communication skills in English, with the ability to document clearly and work effectively with cross-functional stakeholders
• High attention to detail, strong problem-solving skills, and commitment to data accuracy and reliability