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Build and maintain data pipelines and processes to process, transform, and integrate enterprise data using modern data engineering tools.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Build and maintain Scope’s Microsoft Fabric data platform, integrating sources, developing lakehouse/warehouse assets, and creating metadata-driven pipelines for reporting and future AI use cases.
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 cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Build and maintain AI-driven data pipelines and integrations for property analytics using SQL Server, ensuring secure, scalable data platforms and governance.
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.
Designs and builds scalable data pipelines and AI-powered data products to support enterprise transformation and customer outcomes at a major bank.
Designs and owns Checkbox’s data infrastructure and AI platform architecture to support agentic-first SaaS for legal teams.
Builds and maintains scalable Azure data pipelines and writes advanced SQL to support a government agency’s data-driven decision-making platform.
Lead the data and AI engineering strategy for REA Group’s Financial Services team, building scalable platforms and AI-enabled capabilities to connect customer experiences with business value.
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 ETL pipelines that clean and structure large volumes of imagery and video data for machine-learning training in defence and national security applications.
Builds scalable data pipelines and real-time streaming platforms using Java, Kafka, and AWS services to power analytics and AI-driven decisions.
Develop and maintain Python-based data acquisition and automation software for quantum hardware testing and processor characterization in Sydney.
Build and maintain enterprise-scale data and AI platforms to power analytics and decision-making using cloud technologies.
Lead hands-on data engineering work, designing and building scalable AWS and Databricks data platforms while mentoring engineers and aligning solutions with business needs.
Senior Data Engineer builds and optimizes marketing data pipelines and automation to support analytics and customer engagement at a comparison-shopping platform.
Senior Data Engineer builds and maintains data pipelines and transformations for clients using Big Data tech, gathering requirements and integrating data sources.
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
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