Back
Remote, mid-level generalist Data Engineer with broad skill requirements increases applicant competition.
Core data engineering skills are highly transferable across industries.
Mandates 6+ years and specific data/ETL/BI skills, so filters are strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the design and implementation of data models, ETL pipelines, and automation workflows to enable data-driven decisions for clients.
Collect, process, analyse and visualise data using BI tools such as Tableau, Google Data Studio, or Looker to deliver actionable business insights.
Drive client impact through quality data pipeline delivery, timely reporting, and continuous automation improvements.
Minimum 6 years of experience as a Data Engineer.
Strong proficiency in Python and SQL.
Experience building ETL pipelines and transforming data from multiple sources.
Applications only considered if within APAC time zones/locations and with Australian tax number for employment type; otherwise contractor status applies.
Experienced handling medium to large-scale data projects across multiple industries with a focus on marketing data.
Skilled in statistical analysis, data modelling, and developing predictive models to solve business challenges.
Able to work closely with clients to understand problems and deliver impactful insights through data analytics and automation.