Job Description This role is responsible for building and scaling the massive, reliable data infrastructure that powers critical decisions, product features, and advanced analytics across our organization—impacting billions of users daily. As a Data Engineer, you will be a core architect and builder of our next-generation data pipelines, transforming raw, high-volume data into structured, actionable insights. You will design, construct, implement, and rigorously manage end-to-end data processing systems, focusing on robustness, efficiency, security, and high throughput. Your challenge will be to translate complex, ambiguous business requirements from product managers and data scientists into scalable, fault-tolerant solutions using the latest Google Cloud Platform (GCP) technologies, including BigQuery, Dataflow, Cloud Composer, and Pub/Sub. Responsibilities Design and build scalable data pipelines (ETL/ELT) using Dataflow (Apache Beam), Composer (Apache Airflow), and BigQuery. Architect and optimize data models within BigQuery for performance and cost efficiency. Collaborate with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security. Monitor and troubleshoot production data systems, implementing best practices for continuous integration and deployment (CI/CD) of data pipelines. Explore and recommend new data technologies and cloud services to enhance data architecture and governance. Qualifications Strong background in Google Cloud Platform (GCP) and experience as a Data Engineer. Experience with real-time streaming data processing using Pub/Sub and Dataflow Streaming. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git). Deep understanding of DataOps principles and automated testing for data quality. GCP Professional Data Engineer Certification is a plus. Additional Information Previous experience as a Cloud Engineer developing, implementing, or managing secure GCP solutions at an enterprise level. Hands‑on experience with Google Cloud. Experience building infrastructure as code with Terraform at an advanced level. Ability to script in at least one of the following languages: Python, Bash. Applied knowledge of CI/CD concepts and deployment of platform solutions. Experience leveraging core GCP services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc. Well‑versed in networking concepts, including VPCs, subnets, load balancing, firewalls, and DNS. Experience designing secure and scalable network architectures on Google Cloud. Security‑focused with a deep understanding of cloud security principles, threats, and mitigation techniques. Hold one additional Professional‑level Google Cloud certification (e.g., Cloud Architect, Cloud DevOps Engineer, Cloud Developer). Benefits NCS Australia offers paid parental leave, well‑being initiatives, discounted health insurance, and regular recognition and rewards for high performance. Career development is supported through training programs, interest groups, and an AI‑driven learning platform. We are an equal‑opportunity employer committed to supporting all employees regardless of gender identity, ethnicity, sexual orientation, disability, or age. Applications are encouraged from all sectors of the community, including Veterans and Aboriginal and/or Torres Strait Islander peoples. To be eligible for a position with us, applicants must have valid work rights for Australia and be willing to undergo comprehensive background checks, including probity and police checks. #J-18808-Ljbffr