Data Engineer
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Data Engineer (Bigquery / SQL )
Sydney / Hybrid
$700-800 a day including super DOE
We’re looking for a Data Engineer to join a high-performing data team on an initial 6-month contract, helping build and optimise the data foundations that power reporting, BI and analytics for a range of commercial partners.
This is a hands-on role focused on BigQuery, SQL and performance optimisation. You’ll be working with large volumes of data where performance matters — building, refining and tuning data pipelines and datasets so BI and analytics teams can access the information they need quickly and reliably.
The role sits within a broader project focused on improving the reporting and analytics experience for external partners, while also supporting internal business insights and decision-making. The underlying JD describes the role as responsible for delivering high-performance, granular datasets and reducing time-to-insight.
What you'll be doing
The expectation is that you'll be able to build it, perfect it, tune it and hand it over rather than owning a long-term platform.
What we're looking for
We're looking for someone with:
BigQuery is key for this role. We're not looking for someone whose background is primarily focused on platforms such as Oracle, Redshift or Databricks. The role is much more about getting the fundamentals right: strong SQL, BigQuery, performance and reliable data pipelines.
The team
You'll be joining a collaborative, technically strong team working across Data Engineering, BI, Analytics and commercial stakeholders.
We're looking for someone who is technically capable but also a genuine team player - someone who communicates well, is considerate of others and enjoys working collaboratively.
You'll need to be comfortable balancing hands-on delivery with stakeholder collaboration, requirements discussions and working through open-ended technical problems.
What's on offer?
Sydney / Hybrid
$700-800 a day including super DOE
We’re looking for a Data Engineer to join a high-performing data team on an initial 6-month contract, helping build and optimise the data foundations that power reporting, BI and analytics for a range of commercial partners.
This is a hands-on role focused on BigQuery, SQL and performance optimisation. You’ll be working with large volumes of data where performance matters — building, refining and tuning data pipelines and datasets so BI and analytics teams can access the information they need quickly and reliably.
The role sits within a broader project focused on improving the reporting and analytics experience for external partners, while also supporting internal business insights and decision-making. The underlying JD describes the role as responsible for delivering high-performance, granular datasets and reducing time-to-insight.
What you'll be doing
- Build new data pipelines and rebuild, refactor and optimise existing pipelines
- Work extensively with GCP and BigQuery
- Develop and optimise complex SQL queries, with a strong focus on performance
- Build high-performance, granular datasets for BI, reporting and analytics
- Work with Apache Airflow / Cloud Composer for orchestration
- Review and improve existing data sources and pipelines where required
- Work closely with BI, analytics and project stakeholders to understand requirements and prototype foundational datasets
- Troubleshoot performance and data-related issues
- Provide a short period of hypercare and maintenance following delivery
- Document solutions and ensure a smooth handover to the team responsible for ongoing support
The expectation is that you'll be able to build it, perfect it, tune it and hand it over rather than owning a long-term platform.
What we're looking for
We're looking for someone with:
- Strong commercial Data Engineering experience
- Excellent SQL skills
- Strong hands-on BigQuery experience
- Proven experience with SQL performance optimisation
- Experience working with large datasets and performance-sensitive data environments
- Experience with Airflow / Cloud Composer
- GCP experience is highly preferred
- Experience building data pipelines and curated datasets for BI/reporting environments
- The ability to work autonomously while collaborating closely with technical and non-technical stakeholders
BigQuery is key for this role. We're not looking for someone whose background is primarily focused on platforms such as Oracle, Redshift or Databricks. The role is much more about getting the fundamentals right: strong SQL, BigQuery, performance and reliable data pipelines.
The team
You'll be joining a collaborative, technically strong team working across Data Engineering, BI, Analytics and commercial stakeholders.
We're looking for someone who is technically capable but also a genuine team player - someone who communicates well, is considerate of others and enjoys working collaboratively.
You'll need to be comfortable balancing hands-on delivery with stakeholder collaboration, requirements discussions and working through open-ended technical problems.
What's on offer?
- 6-month contract
- Sydney based
- Hybrid – 3 days per week in the office preferred, minimum 2
- Melbourne may be considered for the right person if the Sydney market is exhausted