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Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Design and maintain data pipelines and customer datasets to power AI-driven personalization at a leading Australian proptech company, using SQL, Airflow, BigQuery, and DBT.
Build and maintain data pipelines and datasets for customer insights, using SQL, Airflow, BigQuery, and DBT to transform and validate data across REA Group’s property platforms.
Build and maintain property data pipelines, APIs, and models using Airflow, BigQuery, Kafka, and TypeScript/Python to power REA’s Prime platform and external data solutions.
Design and build scalable data pipelines and models to power Nine’s media and ad-tech platforms, using Python, SQL, and cloud services like GCP/AWS.
Build and maintain data pipelines and customer datasets to consolidate legacy systems into a unified profile platform, enabling AI-driven personalization at a property-tech company.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Build and maintain GCP-based data platforms using BigQuery, Airflow, and Python to deliver scalable ETL pipelines and warehouse solutions for reliable data delivery.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Build and own scalable, event-driven backend services in Java for Marriott’s modern cloud-native platform, migrating legacy systems and integrating high-volume hospitality workflows.
Build and own scalable Java-based backend services for Marriott’s event-driven platform, migrating legacy systems to a modern, reactive cloud stack with Kafka, Spring Boot, and PostgreSQL.
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Build and optimize data pipelines to ingest and process retail and consumer-goods data, then expose it via BI dashboards for fast, scalable decision-making.
Build and maintain large-scale data pipelines in Scala and Spark on AWS, ensuring reliability and performance for a distributed data platform.
Build and maintain data pipelines, transform raw data into Snowflake analytics, and secure data flows with CDC, IAM, and encryption for regulated clients.
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