As a Senior BI Data Engineer at Lusha, you’ll join a company where culture isn’t a slogan - it’s our DNA.

You’ll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, you’ll take end-to-end ownership of complex, high-impact BI initiatives, shaping how Lusha measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What You’ll Actually Do:

• Lead the design and evolution of Lusha’s BI data foundations, owning key product and GTM metric definitions and data models
• Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
• Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
• Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
• Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
• Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
• Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
• Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
• Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed