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Design and optimize AI-enabled data pipelines on AWS and Databricks, building scalable lakehouse architectures and MCP server integrations for next-gen AI platforms.
Designs and builds scalable data pipelines and platforms for a climate-focused insurance company, collaborating with data scientists and engineers to support analytics and business intelligence.
Build and operate LLM-driven data applications and agentic workflows for product intelligence at an AI-first company.
Designs, builds, and optimizes scalable data pipelines on GCP to enable reliable, data-driven decisions across the organization.
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Designs secure data pipelines and transforms GEOINT datasets to support AI-driven analytics for Army intelligence operations.
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Design and build data pipelines and maintain an Enterprise Data Warehouse for an insurance company using Snowflake, DBT, AWS, and SQL.
Lead the design and delivery of enterprise data platforms on Azure, building scalable ETL/ELT pipelines, data models, and analytics solutions for government stakeholders.
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery and Dataflow to enable analytics and reporting for enterprise clients.
Senior Data Engineer designs and builds scalable data platforms for an automotive company, mentoring teams and collaborating with data scientists and analysts.
Build and operate LLM-driven agentic workflows and data pipelines for AutoGrab’s automotive intelligence platform, using Python, GCP, and production-grade AI systems.
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Design and build scalable data pipelines and solutions using Python, SQL, Spark, and cloud platforms to power Westpac’s enterprise-wide transformation and AI-driven innovation.
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Senior Data Engineer builds and maintains cloud-based data pipelines and models using Snowflake, dbt, and AWS to enable analytics and automation for a national glass services company.
Senior Data Engineer builds and optimizes marketing data pipelines, integrations, and automation workflows to power customer engagement, analytics, and activation for a fintech comparison platform.
Designs and implements scalable data pipelines using Big Data tech, collaborating with clients to deliver data solutions that drive business outcomes.
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.
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