Data Engineer
6 days ago
We're excited to be working with a large insurance client as they have a requirement to for a Data Engineer to join the team.
This role offers the chance to work on a flagship Google Data Platform (GCP), driving data transformation at enterprise scale and contributing to one of the most advanced cloud data environments in the region.
What you'll be working on
- Designing and building
enterprise-grade ELT pipelines
on GCP. - Developing in
dbt
, including advanced features such as exception handling, quarantining, snapshots, and reusable ELT patterns. - Leveraging
BigQuery
and other big-data platforms (Snowflake, Databricks) for
large-scale, high-performance analytics
. - Driving
SQL and Python-based solutions
, with a focus on
optimisation and performance tuning
. - Contributing to a
data mesh environment
where domain teams own production-ready data products.
What makes this role exciting
- Enterprise scale
- Deliver solutions for one of the largest insurance data landscapes in ANZ.
- Cutting-edge platform
- Work within a modern
Google Data Platform
, with strong adoption of
dbt + BigQuery
. - Collaborative ways of working
- Join agile delivery squads leveraging Jira/Confluence, CI/CD pipelines, and best-practice engineering standards.
About You
We're looking for a
Data Engineer
with experience in:
- GCP / Google Data Platform (BigQuery, dbt, SQL, Python)
- ELT design and performance tuning for large enterprises
- Working with big data platforms (BigQuery, Snowflake, Databricks)
- Agile environments with CI/CD practices
If this role is of interest to yourself click apply now and or email David
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