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Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Principal Data Engineer leads data architecture and team mentorship for REA Group’s Listings and Enrichment platform, driving scalable ETL/ELT, modeling, and governance while collaborating with data scientists and engineers.
Leads data-architecture engagements for clients, designing Snowflake-centric solutions and aligning data roadmaps with business goals.
Lead cloud-native data pipelines and Databricks platforms to build scalable lakehouse architectures, enabling AI/ML and enterprise-wide analytics for Medibank’s healthcare products.
Principal Data Engineer designs and advises on Snowflake-based data architectures for enterprise clients, bridging pre-sales, strategy, and technical delivery.
Principal Data Engineer designs and oversees enterprise-scale ELT/ETL pipelines for financial data systems, ensuring robust data architecture and integration.
Designs and maintains real-time and batch data pipelines using PySpark, Kafka, Flink, and Azure Data Factory, while mentoring a data engineering team.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Principal Data Engineer builds and optimizes cloud data pipelines on Amazon Redshift and AWS, using Python, SQL, and Apache Airflow to deliver scalable analytics and high-performance warehousing.
Lead design and implementation of real-time and batch data pipelines using PySpark, Kafka, and Azure, while optimizing lakehouse storage and mentoring engineers.
Leads data-engineering projects end-to-end, sets technical vision, and advises clients on high-quality data solutions using deep expertise.
Principal AI Platform & Data Engineer at Booking.com designs scalable AI infrastructure and data pipelines to power intelligent travel discovery and booking experiences.
Principal Data Engineer builds scalable cloud-native data pipelines and mentors teams using Python, Spark, Kafka, and AWS, while shaping technical direction for clients.
Lead data engineering projects for clients, design scalable cloud platforms, and mentor teams to turn data into business value using tools like Databricks and cloud providers.
Principal Consultant leads the Data Engineering team, designing scalable data pipelines, warehouses, and cloud platforms using Python, Spark, SQL, and Azure/AWS/GCP to deliver end-to-end data solutions for enterprise clients.
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Principal Data Engineer designs and builds scalable Databricks-based data platforms, owning architecture from ingestion to consumption while guiding teams on Delta Lake, Unity Catalog, and governance.
Principal Data Engineer designs and builds scalable, sovereign data platforms for government and enterprise clients, integrating cloud-native pipelines, AI, and open-source tech like Kafka, Spark, and Kubernetes.
Principal Data Engineer designs and maintains self-hosted data infrastructure (PostgreSQL, MongoDB) and ETL pipelines for a game studio, ensuring scalability, security, and compliance.
Principal Data Engineer designs and leads the migration to a 100% cloud-based data platform on GCP, mentors engineers, and shapes the organization’s data engineering strategy.
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