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.
We're seeking an experienced Data Engineer to design, build, and maintain robust data solutions using Microsoft Fabric and related technologies. In this client-facing role, you'll bridge the gap between…
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and architecture for large enterprise and government clients.
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Build and maintain enterprise-scale data pipelines and cloud solutions using SQL, Python, dbt, and PySpark to power analytics and AI outcomes.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
About the job Azure Data Integration Engineer (DP600/700) The role involves building and managing data pipelines, troubleshooting issues, and ensuring data accuracy across various platforms such as Azure Synapse…
Designs and validates Azure Data Lake and ETL pipelines using PySpark and SQL to ensure data accuracy and reliability.
Confiz is undergoing a major data transformation to ensure accurate, consistent data is available when needed. We are seeking a data engineer QA to validate pipelines and dashboards on Azure Data Lake, Synapse, and…
Lead a team to build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift, ensuring performance, quality, and security.
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.
Build and optimize PySpark pipelines on Cloudera for large-scale banking data, enabling reliable ETL and analytics that power critical financial applications.
Builds and maintains Azure-based data pipelines that integrate SAP and other enterprise systems to power real-estate analytics and BI dashboards.
Build and maintain Azure-based data lakes and production pipelines using PySpark, SQL, and Python to support analytics and digital transformation.
Build and optimize cloud-based data pipelines using Microsoft Fabric, Spark, and PySpark to transform raw data into analytics-ready datasets for reporting and BI.
Builds and maintains centralized data lakes and streaming pipelines using GCP, leveraging PySpark for ETL and data validation to ensure quality and drive insights for a UAE-based tech super app.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
We couldn't check your fit for this role — add a CV to your profile to see it next time.