Senior Data Engineer
Core
Build and own the company-wide data foundation, modeling clean tables and defining metrics to enable AI querying and business reporting on customer/site performance.
Role type
Senior hands-on data engineer (founding hire)
Builds
A reliable, queryable data layer and metrics bible for customer, site, and deployment performance
Domain
Logistics, AI automation, data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modelling, Python, dbt, Databricks, AI automation tooling (LLMs/agents), system integration, data quality/deduplication
Preferred skills
Entity resolution, pragmatic build-vs-buy decisions
Technologies
Databricks, dbt, Python, LLMs, agents, Grafana, HubSpot, Pendo
Responsibilities
Design architecture for core concepts (customer, site, deployment); model operational/commercial data against SLAs/KPIs; define consistent business metrics; implement AI automation for self-serve data; partner with engineering to expose source data; monitor pipeline health; mentor the team
Seniority
Senior, hands-on IC (founding hire with path to lead)