Job Description – Senior Data Engineer (GCP)Location: Sydney
We are looking for a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data pipelines and architecture.
The role will focus on enabling data-driven decision-making by delivering high-quality, reliable, and effective data solutions across the organization.
Key Responsibilities
Design and implement scalable and robust data pipelines using GCP services
Build and maintain data lakes, data warehouses, and ETL/ELT workflows
Work with large-scale structured and unstructured datasets
Optimize data processing pipelines for performance, cost, and reliability
Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
Develop and enforce data quality, governance, and security standards
Automate data workflows and orchestration using tools like Apache Airflow / Cloud Composer
Ensure high availability and fault tolerance of data platforms
Monitor and troubleshoot data pipelines and production issues
Mentor junior engineers and contribute to best practices
Must Have Skills & Experience
10+ years of experience in data engineering or related roles
Strong hands-on experience with Google Cloud Platform (GCP) services such as:



BigQueryDataflowPub/SubCloud StorageDataprocCloud Composer
Expertise in Python, SQL, and distributed data processing frameworks (e.g., Apache Beam, Spark)
Experience designing real-time and batch data pipelines
Strong understanding of data modeling, data warehousing, and ETL/ELT concepts
Experience with CI/CD pipelines and DevOps practices
Familiarity with data governance, data security, and compliance frameworks
Proven ability to work with large datasets in a cloud environment
Strong problem-solving and performance optimization skills
Nice to Have
Experience with multi-cloud environments (AWS/Azure)
Knowledge of containerization (Docker, Kubernetes)
Experience with streaming frameworks (Kafka, Pub/Sub streaming)
Exposure to Machine Learning pipelines (Vertex AI)
Certifications such as: Google Professional Data Engineer
Experience in domain-specific industries (telecom, finance, healthcare, etc.)
Familiarity with data cataloging and governance tools
Key Competencies
Strong analytical and problem-solving skills
Excellent communication and stakeholder management
Ability to translate business requirements into technical solutions
Leadership and mentoring capabilities
Focus on scalability, reliability, and performance
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📌 Senior Data Engineer-Gcp (New South Wales)
🏢 Burgeon IT Services
📍 New South Wales