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 maintain ETL/ELT pipelines on Azure using Databricks, PySpark, and Delta Lake to move and transform data for analytics and reporting.
Senior Data Engineer builds and maintains a Microsoft Azure-based BI platform, integrating data pipelines, modeling data, and creating Power BI reports for business teams.
Senior Data Engineer builds and optimizes Azure-based pipelines and warehouses to power Next Sense’s climate-neutral building platform, using Python, Spark, and KQL.
Build and maintain Azure-based data pipelines and warehouses for clients, using SQL, Python, and Databricks to turn raw data into scalable analytics solutions.
Design, build, and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and Power BI to deliver insights for customers.
Designs and maintains ETL/ELT pipelines and data models to connect, organize, and expose data for clients, using tools like Azure Data Factory, Spark, and Snowflake.
Build and migrate data pipelines to Microsoft Fabric, enabling analytics and AI agents while collaborating with data scientists and GIS specialists.
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Build and optimize Azure-based data platforms, ETL pipelines, and data warehouses for clients, enabling BI, AI, and analytics with Microsoft tools like Synapse and Databricks.
Designs and builds scalable data platforms using Azure, Databricks, and Snowflake, focusing on ETL/ELT, data modeling, and DevOps practices to deliver end-to-end data solutions.
Lead a team to design and scale a data warehouse and pipelines using Azure Data Factory, Databricks, PySpark, and Kimball modeling, while coaching peers and improving reliability and performance.
Design and build big-data platforms and self-service BI solutions using Azure services, SQL, Python, and Databricks to advise and implement analytics systems for clients.
Senior Data Engineer builds scalable, secure data platforms for banking, logistics and manufacturing clients using Databricks, PySpark, SQL and cloud orchestrators.
Build and maintain scalable Azure data pipelines, integrate data sources, and optimize processing for analytics and AI workloads using Synapse, Databricks, and Fabric.
Build and maintain data pipelines and warehouses for cutting-edge clients using Python, SQL, and cloud tools like Azure Synapse and Databricks.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Builds and optimizes data pipelines for clients using Databricks, Spark, and cloud tools to prepare clean, structured data for analytics and operations.
Designs and builds data pipelines in Azure or AWS, cleans and transforms data, and maintains ETL processes for analytics and reporting.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
We couldn't check your fit for this role — add a CV to your profile to see it next time.