Data Modeler

Own, maintain, and improve production data pipelines across the Coffee Platform.

Build and maintain ingestion pipelines for internal data sources, including business-generated Excel/CSV files, reports, and other internal datasets.

Maintain integrations with external data sources, including exchanges, APIs, web-scraped data, and weather providers.

Proactively monitor pipeline execution, investigate failures, perform root-cause analysis, and implement corrective actions.

Own pipeline health and observability reporting through platform centralized monitoring, including data freshness, failures, ownership, dependencies, and data quality.

Design and maintain robust database structures, SQL workflows, schemas, indexes, and data models.

Maintain orchestration and scheduling of production workflows with appropriate logging and alerting.

Support data scientists and researchers with reliable, production-ready datasets and pipelines.

Maintain clear data lineage and documentation and contribute to overall data governance standards.

Support database administration and production incident investigation where required.

3+ years of professional Data Engineering experience.

Strong Python development skills, particularly for ETL/data pipelines, APIs, data processing, automation, and production workflows.

Strong SQL skills, including database/data-model design and optimization.

Experience with workflow orchestration and scheduling tools such as Jenkins, Airflow, Azure Data Factory, or equivalent.

Experience implementing pipeline monitoring, logging, alerting, and data-quality controls.

Strong experience with Git-based version control and collaborative development workflows, including branching, pull requests, and code reviews.