This range is provided by Profusion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$180,000.00/yr - A$190,000.00/yr
Direct message the job poster from Profusion
Director of Technology at Profusion Group
Profusion are representing a leading name in the financial services industry, who are seeking an experienced Lead GCP Data Engineer to play a key role in the development of their enterprise-grade data solutions. This Sydney based opportunity is perfect for someone passionate about cloud technology, data pipelines, and building scalable systems that power critical decision-making.
As the Lead GCP Data Engineer, you’ll lead the design, development, and optimisation of data platforms and pipelines on GCP. Working closely with data scientists, analysts, and engineers, you'll deliver reliable, secure, and scalable data solutions to support the organisation’s data-driven strategy.
Responsibilities:
Design and build robust, scalable, and efficient data pipelines and ETL/ELT workflows on GCP.
Champion best practices in data engineering and drive the adoption of modern data architecture.
Collaborate with cross-functional teams across engineering, analytics, and product.
Lead the technical design and delivery of complex data initiatives.
Ensure high standards in data governance, quality, and security.
Mentor junior engineers and influence technical strategy.
Experience:
Strong experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.).
Solid background in data engineering, data warehousing, and distributed data processing.
Proficiency in Python for data pipeline development, scripting, or automation.
Experience with orchestration tools like Apache Airflow or Cloud Composer.
Knowledge of CI/CD practices, DevOps, and infrastructure-as-code (Terraform desirable).
Excellent communication, leadership, and problem-solving skills.
Join a high-impact data transformation program within a major financial services organisation.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
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