About The Role
As a
SQL Data Engineer
, you will make an impact by designing, developing, and optimising database solutions across both on‑premises and cloud environments. You will be a valued member of the data engineering team and work collaboratively with platform engineers, data analysts, and cross‑functional technology partners to deliver reliable, scalable data solutions.
In This Role, You Will
Develop and optimise complex SQL queries, stored procedures, functions, and triggers.
Build and maintain ETL processes to support data ingestion, transformation, and integration.
Implement and maintain CI/CD workflows for database code using tools such as Git, Jenkins, Cloud Build, or Azure DevOps.
Collaborate with teams to support data modelling, schema design, and database architecture improvements.
Perform database performance tuning, indexing, and query optimisation to ensure system efficiency.
Support production deployments, troubleshoot database issues, and ensure database reliability.
Work with cloud‑based databases and services on GCP, including Cloud SQL and BigQuery.
Document database structures, processes, standards, and best practices.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a
hybrid position
with work performed in our
Sydney, NSW
office. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on business or client needs. We will always be clear about role expectations.
What You Must Have To Be Considered
Strong proficiency in SQL (T‑SQL, PL/SQL, or equivalent).
Experience working with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
Hands‑on experience implementing CI/CD pipelines for database deployments.
Exposure to Google Cloud Platform services such as Cloud SQL, BigQuery, Cloud Storage, and/or Cloud Build.
Experience with ETL tools such as SSIS, Informatica, or Talend.
Understanding of data warehousing concepts and data integration principles.
Familiarity with version control practices using Git.
Excellent analytical and problem‑solving skills.
These will help you stand out
Experience working with cloud‑native database optimisation and cost‑efficiency practices.
Knowledge of modern data engineering patterns, including ELT frameworks.
Experience collaborating within agile delivery teams.
Exposure to infrastructure‑as‑code or automation tools supporting data environments.
Strong documentation and technical communication skills.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting perspectives to this role.