Data Engineer
Core
Design, build, and operate data infrastructure supporting business reporting, multi-market analytics, and AI-powered data products and agents.
Role type
Data Engineer
Builds
Data pipelines (ETL/ELT), data quality monitoring, and agent-accessible data interfaces
Domain
Data Engineering, AI/ML data workflows, Cloud-native data tooling
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Cloud-native data tooling, Data pipeline architecture, Data modeling, Data quality monitoring, SLA management, Data governance
Preferred skills
AI/ML data workflows, Vector stores, Retrieval pipelines
Technologies
BigQuery, Matillion, dbt, Airflow
Responsibilities
Design and operate data pipelines meeting SLAs across multiple markets; Define monitoring, alerting, and remediation patterns for data quality; Partner with AI/data product builders to expose well-modeled data; Improve infrastructure stability, observability, and cost efficiency; Strengthen data governance, PII handling, and audit readiness; Integrate AI-assisted engineering into daily workflows
Seniority
Junior to Mid-level (0-4 years experience)