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Maintains and develops the company's central data warehouse on Snowflake, building data models with dbt, orchestrating workflows with Airflow, and delivering datasets in Sigma for sales, risk, and other teams — a hybrid data engineering and analytics role at a Dutch equipment-finance company.
Data engineer at an equipment-finance company who maintains and develops the Snowflake data warehouse, builds data models in dbt, and orchestrates pipelines with Airflow. Works closely with Sales, Risk and other teams to make data reliable and accessible, while taking ownership and critically reviewing AI-generated code.
Data engineer who maintains and develops the company's Snowflake data warehouse: building and testing dbt models from staging to marts, orchestrating workflows with Airflow, and exposing curated datasets through Sigma so sales and risk colleagues (and AI agents on Cortex) can self-serve.
The Data Platform Engineer will maintain and develop the company's data warehouse, focusing on data modeling, quality assurance, and workflow orchestration. The role utilizes Snowflake, dbt, Airflow, and Sigma to provide actionable datasets for internal teams.
Builds and maintains a Snowflake data warehouse, writes dbt models, and orchestrates pipelines with Airflow to deliver clean, reliable analytics for sales, risk, and other teams.
Builds and maintains Beequip’s modern data warehouse and semantic layer, using Snowflake, dbt, Airflow and Sigma to turn raw data into reliable models for sales, risk and AI agents.
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