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.
Vivanti Consulting is seeking a Data Engineer to design and build data pipelines, data lakes, and warehouses for global clients. The role involves working with cloud technologies like GCP, Python, Spark, and Airflow in a collaborative consulting environment.
Data Engineer at NSW Health designing data models, building data pipelines and warehouses, and managing data systems for Health Protection NSW's epidemiology and public health reporting needs.
Hands-on Data Engineer building automated SQL pipelines and data warehouse foundations to support operational reporting. Core technologies include T-SQL, PostgreSQL, and ETL/ELT tooling.
Data Engineer leading Microsoft Fabric and Azure data platform modernization in Brisbane—responsible for end-to-end data platform ownership, governance, and delivery across Azure Synapse, Data Lake, Power BI, and integration tools.
Data Engineer developing and optimizing big data platforms, data warehouses, and BI solutions using FineReport/FineBI at BYD Australia's Mulgrave office.
Design, build, and support modern batch and streaming data pipelines using Spark/PySpark, Kafka, and Azure Synapse in a hybrid, hands-on leadership role in Sydney.
The Senior Data Engineer will lead data acquisition and integration for an enterprise data warehouse program, utilizing Snowflake, AWS, SQL, and Python. The role involves designing data pipelines, mentoring developers, and driving governance and release practices.
Linkforce Engineering is hiring a Data Engineer to build and maintain data pipelines and warehouse foundations using SQL Server and PostgreSQL. The role focuses on improving data platform performance and ensuring data quality through hands-on development.
Data analysis and reporting specialist role at Ford Australia, building dashboards and analyzing dealer performance trends to support field teams and management in a hybrid (4 days in-office) arrangement in Richmond.
Lead core software development for the Australian Tree of Life genomics data platform, building APIs, databases and automation to connect genomics data with real-world decisions in collaboration with bioinformaticians.
Builds and supports data pipelines for ETL and analytics, enabling BI across the company while collaborating with stakeholders and IT teams.
GCP Data Engineer at a Melbourne tech consultancy, designing and building data pipelines, data lakes, and warehouses using Python, Spark, Airflow, Snowflake, and Databricks across client industries.
Mid-level backend/data engineer at a boutique consultancy building AWS-based APIs, data pipelines, and production ML model deployments while collaborating with economists and modellers.
Vinarchy is seeking a Data Engineer to design, build, and maintain cloud-based data pipelines to support global business intelligence and analytics initiatives.
Data Engineer building and optimizing data pipelines for public sector clients using Python, Spark, and SQL on modern cloud data platforms.
The Lead Data Engineer will provide technical leadership for an enterprise data warehouse program, focusing on data acquisition, modeling, and ETL development. The role requires extensive experience with Snowflake, AWS, and advanced SQL to guide development teams and improve delivery practices.
The Data Engineer will design and optimize data solutions using Azure and Databricks to build scalable pipelines and data lakes. The role focuses on enabling advanced analytics and machine learning through Python, SQL, and Spark expertise.
The Technical Specialist in Data Engineering will design and maintain scalable data pipelines and analytics products to drive business insights. The role involves using SQL, DBT, and Tableau to translate business needs into technical solutions while mentoring team members.
The Data Engineer will manage and maintain ETL pipelines and identity management systems within a defence environment. The role focuses on ensuring the availability and performance of directory synchronisation services and identity lifecycle processes.
The Data Engineer will build and support scalable cloud-native data solutions using AWS services, SQL, and Python/PySpark. The role focuses on ETL/ELT pipeline development, data modeling, and database performance tuning.
We couldn't check your fit for this role — add a CV to your profile to see it next time.