Job Description
Location: Sydney
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Role Overview
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We are looking for a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform
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(GCP) to design, build, and optimize scalable data pipelines and architecture. The role will focus on enabling data-
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driven decision-making by delivering high-quality, reliable, and effective data solutions across the organization.
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Key Responsibilities
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Design and implement scalable and robust data pipelines using GCP services
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Build and maintain data lakes, data warehouses, and ETL/ELT workflows
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Work with large-scale structured and unstructured datasets
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Optimize data processing pipelines for performance, cost, and reliability
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Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
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Develop and enforce data quality, governance, and security standards
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Automate data workflows and orchestration using tools like Apache Airflow / Cloud Composer
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Ensure high availability and fault tolerance of data platforms
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Monitor and troubleshoot data pipelines and production issues
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Mentor junior engineers and contribute to best practices
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Must Have Skills & Experience
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10+ years of experience in data engineering or related roles
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Strong hands-on experience with Google Cloud Platform (GCP) services such as:
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o BigQuery
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o Dataflow
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o Pub/Sub
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Expertise in Python, SQL, and distributed data processing frameworks (e.g., Apache Beam, Spark)
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Experience designing real-time and batch data pipelines
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Strong understanding of data modeling, data warehousing, and ETL/ELT concepts
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Experience with CI/CD pipelines and DevOps practices
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Familiarity with data governance, data security, and compliance frameworks
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Proven ability to work with large datasets in a cloud environment
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Strong problem-solving and performance optimization skills
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Nice to Have
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Experience with multi-cloud environments (AWS/Azure)
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Knowledge of containerization (Docker, Kubernetes)
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Experience with streaming frameworks (Kafka, Pub/Sub streaming)
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Exposure to Machine Learning pipelines (Vertex AI)
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Certifications such as:
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o Google Professional Data Engineer
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Experience in domain-specific industries (telecom, finance, healthcare, etc.)
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Familiarity with data cataloging and governance tools
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Strong analytical and problem-solving skills
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Excellent communication and stakeholder management
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Ability to translate business requirements into technical solutions
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Leadership and mentoring capabilities
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Focus on scalability, reliability, and performance
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📌 Senior Data Engineer-Gcp (New South Wales)
🏢 Ampstek
📍 New South Wales