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.
Design and build cloud data pipelines and platforms using Azure, Databricks, and Spark; optimize workflows with Airflow and manage structured/unstructured data.
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Designs and builds scalable data pipelines in AWS/Azure using Snowflake, Redshift, Spark, and Airflow to deliver analytics-ready data for enterprise clients.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
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.
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Design and maintain data pipelines and customer datasets to power AI-driven personalization at a leading Australian proptech company, using SQL, Airflow, BigQuery, and DBT.
Build and maintain data pipelines and datasets for customer insights, using SQL, Airflow, BigQuery, and DBT to transform and validate data across REA Group’s property platforms.
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.
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 customer datasets to consolidate legacy systems into a unified profile platform, enabling AI-driven personalization at a property-tech company.
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 GCP-based data platforms using BigQuery, Airflow, and Python to deliver scalable ETL pipelines and warehouse solutions for reliable data delivery.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
We couldn't check your fit for this role — add a CV to your profile to see it next time.