Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
Lead a team to design, build, and own Vimla’s scalable data platform in AWS, owning pipelines, warehousing, and integrations while coaching engineers and driving data-driven decisions.
Designs and maintains Azure cloud infrastructure, automates deployments with Terraform, and leads CI/CD pipelines for a data platform using Airflow and Azure Databricks.
Build and maintain Azure’s data orchestration and cloud infrastructure, using Airflow, Databricks, Terraform, and AKS to keep pipelines reliable and secure.
Senior Data Scientist at Xero building forecasting and optimization models to guide finance and corporate decisions, using SQL, Python/R, and Tableau.
Designs and maintains AWS-based data pipelines, builds scalable ETL/ELT processes, and ensures reliable data delivery for analytics and reporting in a hybrid work setup.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
Designs and optimizes Google Cloud data pipelines and models in BigQuery to support analytics and reporting for a financial services company.
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
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.
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Builds and maintains ELT pipelines and Airflow workflows for a multi-jurisdiction financial data platform, ensuring data quality and automating reporting delivery.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
