Data Engineer: AI-Driven Analytics & Pipelines

Talent Insights Group

Sydney

On-site

AUD 110,000 - 170,000

Full time

27 hours ago
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Job summary

Talent Insights Group in Sydney, NSW, is seeking a Data Engineer to join a growing data team and deliver data solutions that support commercial and product requirements. The initial contract will run for 9 months through to the end of FY27, with an immediate project need and a target start before or around 19 October 2026.

You’ll work across data engineering, analytics and modelling to evolve data capabilities and deliver solutions for a range of business requirements.

Qualifications

  • Solid mid-level data engineering experience in a modern data environment.
  • Experience with cloud data warehouses/platforms (BigQuery, Snowflake, Redshift, Databricks).
  • Ability to translate business requirements into technical data solutions.
  • Pragmatic engineering approach balancing robustness and simplicity.

Responsibilities

  • Build and evolve dbt models and data pipelines to support business requirements.
  • Develop and maintain data models across a modern cloud data environment.
  • Evolve Looker models and Explores where applicable.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Help define data engineering and data lifecycle standards.
  • Support semantic layers and consistent business metrics.
  • Work with analytics, product and engineering teams to deliver trusted data.
  • Contribute to conversational analytics and AI-enabled workflows.

Skills

Data modelling
Data pipelines
Stakeholder comms
Cloud data platforms

Tools

BigQuery
Snowflake
Redshift
Databricks
Looker
LookML
GCP

Job description

Talent Insights Group in Sydney, NSW, is seeking a Data Engineer to join a growing data team and deliver data solutions that support commercial and product requirements. The initial contract will run for 9 months through to the end of FY27, with an immediate project need and a target start before or around 19 October 2026.

You’ll work across data engineering, analytics and modelling to evolve data capabilities and deliver solutions for a range of business requirements.

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