Intermediate Data Engineer
Core
Design, implement, and maintain shared data pipelines, automation workflows, and platform tooling to enable data teams to ship workloads safely and consistently.
Role type
Intermediate Data Engineer (Platform Tooling)
Builds
Shared libraries, data pipelines, automation workflows, CI/CD foundations, and observability integrations for the Growth Group's data teams.
Domain
Consumer Goods (Beer) / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data engineering, Python, SQL, CI/CD pipeline design, Lakehouse platforms (Databricks), Cloud infrastructure (Azure)
Preferred skills
OpenTelemetry, Poetry, UV, package publishing, artifact management, unit testing, schema validation
Technologies
Python, SQL, Databricks, Azure, Git, OpenTelemetry, Poetry, UV
Responsibilities
Design and maintain shared data pipelines and automation workflows; Build reusable platform components like ingestion patterns and data-quality integrations; Develop observability integrations (metrics, logging, tracing) and CI/CD foundations; Partner with data teams to improve developer ergonomics and standardize stacks; Maintain clear schemas, contracts, and interfaces across releases.
Seniority
Intermediate, hands-on IC