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 own the data infrastructure and MLOps tooling for Neurode’s brain-computer interface, turning raw neural signals into pipeline-ready training data at petabyte scale.
Builds scalable data pipelines and Power BI reports using Microsoft Fabric, Python, and SQL to modernize legacy data systems.
Design, expand, and optimize data pipelines and architecture for predictive models at a growing fintech company on Australia’s Sunshine Coast.
Build and maintain cloud data pipelines and integrations for a home-building company, ensuring reliable data for analytics and reporting.
Staff Software Engineer building cloud, data, and AI platforms to enhance customer and colleague experiences in Business Banking Technology at CommBank.
Builds data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right initiative, using SQL, Power BI, Python, and Azure.
Field Data Engineer sets up, operates, and maintains data acquisition systems for oil/gas well testing on a 28:28 FIFO roster from Moomba, troubleshooting equipment and ensuring accurate data delivery.
Solutions Engineer at Snowflake partners with Sales and Engineering to guide customers through modern data architectures, deliver demos, and support deployments using SQL and Python.
Data Engineer to migrate audit data from a legacy platform to Microsoft Fabric using CDC, ensuring accuracy and audit-readiness.
Designs and builds scalable data platforms using Microsoft Fabric, translating business needs into technical solutions while leading projects and mentoring junior engineers.
Build and maintain AWS-based ETL/ELT pipelines and data models for network operations, ensuring data quality and migrating legacy systems to cloud-native platforms.
Design, build, and scale a cloud data platform using Snowflake, dbt, Dagster, and AWS to improve data quality, performance, and governance while optimizing cloud costs.
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage, focusing on batch and streaming ETL/ELT workflows and BigQuery data models.
Build AI-powered creative tools and intelligent workflows, integrating LLMs and multimodal AI into production systems using Swift, C#, Python, and Azure.
Build AI-powered features and LLM-based enrichment pipelines for a people analytics platform, collaborating with engineers and data scientists.
Lead the design and delivery of scalable cloud, data and AI platforms for Business Banking, influencing architecture and engineering standards while solving complex technical challenges.
Designs and builds Salesforce Data Cloud models, identity resolution, and governance, then delivers Tableau/Looker dashboards for trusted, data-driven insights in financial services.
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Build and optimize data pipelines using Databricks and dbt, integrate data sources, and collaborate on data projects in a hybrid Sydney-based role.
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.