Senior Gcp Data Engineer

Talent Insights; Sydney; Hybrid; AUD 129,000 - 185,000; Part time

Job summary

Talent Insights is seeking a Senior Data Engineer to join a large-scale data transformation in Sydney on a 6–12 month contract. The role is hybrid, focusing on GCP, dbt and modern data engineering, with ownership from problem to delivery and a hands-on engineering approach.

You will design and implement data platforms, pipelines and models, working with analytics stakeholders to deliver high-value data solutions across the organisation.

Qualifications

• Experience designing data platforms and pipelines in large enterprise environments.
• Strong focus on GCP, dbt and modern data engineering.

Responsibilities

• Design, build and optimise scalable data platforms, pipelines, databases, schemas and data models within a complex enterprise environment.
• Develop modern data solutions across the GCP ecosystem, with a strong focus on dbt and cloud data engineering.
• Build robust data pipelines and transformations using SQL, BigQuery and dbt.
• Design performant, maintainable and fit-for-purpose data models.
• Implement new data capabilities, structures and solutions across a large organisation.
• Work with high-volume data to support analytics and reporting.

Skills

GCP

dbt

BigQuery

SQL

Data modeling

ELT

Data pipelines

Tools

dbt

BigQuery

Job description

Senior Data Engineer – GCP / dbt / Data Platforms
6–12 Month Contract | Sydney | Hybrid
$700-1000 a day including super DOE
We’re looking for both Mid level and Senior Data Engineers to join a large-scale data and technology transformation within a complex enterprise environment.

The team is going through an exciting period of growth and change, building out data capabilities and platforms that will support a significant pipeline of work over the next 12 months.

This is a genuinely hands-on engineering role, with a strong focus on GCP, dbt and modern data engineering, but we’re not just looking for someone who can tick a technology checklist.

We’re looking for an engineer who can understand the business problem behind the data, take ownership from end to end and build solutions that genuinely add value.
What you’ll be doing

• Design, build and optimise scalable data platforms, pipelines, databases, schemas and data models within a complex enterprise environment
• Develop modern data solutions across the GCP ecosystem, with a strong focus on dbt and cloud data engineering
• Build robust data pipelines and transformations using SQL, BigQuery and dbt
• Design performant, maintainable and fit-for-purpose data models
• Implement new data capabilities, structures and solutions across a large organisation
• Work with high-volume data and contribute to solutions supporting analytics, reporting and broader business initiatives
• Explore and contribute to real-time analytics and data use cases, with the ability to learn new technologies where required
• Apply modern ELT and data engineering best practices across ingestion, transformation and modelling
• Work closely with engineers, analysts and business stakeholders to understand problems and translate them into effective technical solutions
• Take ownership of engineering initiatives from understanding the problem through to delivery
• Contribute to data quality, governance, reliability and engineering standards
• Identify opportunities to improve existing processes, platforms and ways of working
• Stay curious about emerging technologies, including AI and AI-enabled data solutions, and help the team adopt new approaches where they create genuine business value