Senior Business Intelligence Engineer

eBay is hiring a Senior Business Intelligence Engineer to develop and support a scalable business intelligence and reporting platform for its Nexpart B2B marketplace. The role focuses on data pipelines, analytics, reporting experiences, AI-enabled reporting features, and collaboration with business partners.

Responsibilities:

• Develop, launch, and support a scalable BI and reporting platform using ClickHouse as the primary analytical database
• Develop robust Python-based ETL and ELT pipelines to extract, transform, validate, and load data from various sources
• Optimize ClickHouse query efficiency for dashboards, reports, and high-volume reporting tasks
• Build dimensional models, reporting marts, and reusable data assets
• Work alongside business partners to grasp reporting requirements and provide actionable dashboards and reports
• Assist in developing frontend reporting experiences with Next.js, TypeScript, Node.js, Tremor, AG Grid, and open-source charting libraries
• Develop AI-enabled reporting features for natural language queries and business performance insights
• Maintain technical documentation, data dictionaries, pipeline documentation, runbooks, and reporting definitions

Requirements:

• 5+ years of experience in business intelligence engineering, data engineering, or data platform development
• Extensive experience with ClickHouse in live or nearly live settings
• Strong proficiency in Python for ETL, data processing, automation, and production data workflows
• Advanced SQL skills for analytical queries, joins, aggregations, window functions, and query tuning
• Experience in collecting and combining data from systems such as Elasticsearch, SQL Server, APIs, and file-based sources
• Ability to convert business requirements into scalable technical solutions through direct collaboration with business partners
• Excellent debugging and problem-solving skills for data pipelines, SQL queries, and reporting logic
• Remote roles are not eligible for U.S. visa sponsorship
• Experience with Node.js, Next.js, TypeScript, React, or modern frontend development
• Experience in crafting APIs or backend services for reporting and analytics
• Experience with orchestration tools like Airflow, Prefect, Dagster, or custom Python schedulers
• Knowledge of Elasticsearch query patterns, indexing concepts, and large-scale search/log analytics data extraction
• Openness to learning TypeScript, JavaScript, and current frontend technologies if not already familiar