Senior BI Engineer - AtBay Jobs

4+ years of experience as a BI Engineer, Analytics Engineer or Data Engineer Expert SQL skills, including reading query plans and optimizing performance at scale Strong experience in DWH design and dimensional modeling (Star schemas, SCDs, incremental loads) Experience with Snowflake (performance tuning, cost management, RBAC) Experience with orchestration tools such as Airflow, Dagster or similar Hands-on experience with dbt in production (models, tests, macros, documentation) Proficiency in Python for data pipelines, automation and integrations Experience with Git-based workflows and CI/CD for data Strong ownership - you take projects from ambiguous requirements to production Excellent communication skills in English and Hebrew, and the ability to explain technical trade-offs to non-technical stakeholders

Model the business: design and own dimensional and domain data models in Snowflake that serve as the single source of truth for key metrics. Build reliable pipelines: develop incremental, tested and version-controlled transformations with dbt, Python and Airflow, ingesting data from internal services, SaaS tools and third-party APIs. Own data quality: implement tests, data contracts, monitoring and alerting so stakeholders can trust the numbers. Optimize performance and cost: tune queries, warehouses and models; keep Snowflake spend efficient as data volumes grow. Enable self-serve and AI: build a well-defined semantic/metrics layer and clean, documented data that analysts, BI tools and LLM-based agents can query safely. Work with AI-assisted tooling: use tools such as Claude Code / Copilot to accelerate development, and help the team adopt best practices around them. Lead technical initiatives: drive POCs, migrations and architecture decisions, and raise the bar through code reviews and mentoring. Partner cross-functionally: translate business questions from underwriting, finance, product and leadership into scalable data solutions.

4+ years of experience as a BI Engineer, Analytics Engineer or Data Engineer Expert SQL skills, including reading query plans and optimizing performance at scale Strong experience in DWH design and dimensional modeling (Star schemas, SCDs, incremental loads) Experience with Snowflake (performance tuning, cost management, RBAC) Experience with orchestration tools such as Airflow, Dagster or similar Hands-on experience with dbt in production (models, tests, macros, documentation) Proficiency in Python for data pipelines, automation and integrations Experience with Git-based workflows and CI/CD for data Strong ownership - you take projects from ambiguous requirements to production Excellent communication skills in English and Hebrew, and the ability to explain technical trade-offs to non-technical stakeholders