Senior Data Engineer / Data Engineer - GCP

Saltus Group is seeking an experienced Data Engineer or Senior Data Engineer with strong Python, API integration and Google Cloud Platform expertise to build scalable data pipelines, deliver complex migrations and develop secure cloud data solutions.

About the role

You will design and implement ETL/ELT pipelines, integrate enterprise systems and support data warehousing and migration initiatives. Working within an Agile delivery team, you will help ensure data is reliable, secure and ready for business use.

Key responsibilities

- Build and maintain scalable data pipelines using Python, SQL and GCP services.
- Develop API integrations using REST APIs, JSON/XML, OAuth and robust error handling.
- Develop and orchestrate workflows using Dataform and Cloud Composer, including Airflow DAG development.
- Deliver data migrations, including validation, reconciliation and issue resolution.
- Design dimensional models and optimise BigQuery queries and data transformations.
- Apply data governance, Cloud DLP, security and compliance controls.




- Deploy GCP resources using Terraform and contribute to CI/CD practices.

What you'll bring

- Approximately 5-8+ years of relevant data engineering experience, depending on role level.
- Strong hands-on Python, advanced SQL and API integration expertise.
- Experience with BigQuery, Dataform, Cloud Composer/Airflow, Secure Source Manager, Cloud Storage and Pub/Sub.
- Proven delivery of scalable ETL/ELT pipelines and cloud-native data solutions.
- Robust understanding of data warehousing, dimensional modelling and data lifecycle management.
- Experience delivering large-scale data migrations.
- Hands-on knowledge of Terraform, CI/CD pipelines, Agile delivery and enterprise integration patterns.

Desirable experience

Databricks, data quality frameworks, ServiceNow or Salesforce integrations, and JIRA.

Apply now with your CV, highlighting your GCP, Python and data integration experience.

📌 Senior Data Engineer (Sydney)
🏢 Saltus Group
📍 Sydney