Principal Data Engineer

Since 2013, the company has expanded from listings into payments, shipping and seller financing. More than 780 employees work on the product, from search ranking to fraud detection. Core hours are 10 to 3, and the rest of the day is flexible.

Overview

The Finance Data team moves data from about 30 source systems into Snowflake. You'll own ingestion, modelling and data quality checks. Juneberry Commerce needs someone who writes solid SQL and Python and treats pipelines like production software. You can work from home anywhere in Australia. We have no office requirement. Normal business hours, Monday to Friday, with some flexibility.

What you'll do

• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Model data in dbt using staging, intermediate and mart layers.
• Handle PII according to retention, masking and access policies.
• Maintain CI for data code and review pull requests.
• Document datasets and lineage in a catalogue such as DataHub or Atlan.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.

Required qualifications

• 7+ years of data engineering, or backend work with data at volume.
• Familiarity with Git, CI/CD and testing practices for data code.
• Strong Python for data processing.
• Patience with messy source data and the habit of documenting assumptions.

Pay: $195,000 - $265,000 per annum

What you get

• Flexible hours.

Duration: 9 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Juneberry Commerce.