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 data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Designs, builds, and maintains data pipelines and ETL/ELT workflows for a banking-focused ICT consultancy, ensuring reliable analytics and reporting.
Designs and maintains data pipelines and warehouses for analytics and ML, ensuring data quality and performance while collaborating with cross-functional teams.
Build and maintain dashboards, forecasting models, and customer analytics to guide business decisions for a fast-growing Southeast Asian fashion brand.
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Builds and optimizes Azure Databricks Lakehouse pipelines using PySpark and SQL Server to transform and deliver data for BI teams.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Design and build end-to-end data pipelines and star-schema models in Microsoft Fabric/Azure, then expose clean datasets for Power BI and integrate Azure OpenAI where it adds value.
Lead the design and deployment of cloud-native data pipelines and AI platforms on AWS, collaborating with cross-functional teams to enable scalable, secure analytics and ML workloads.
Build and maintain a Lakehouse data platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for analytics and data sharing.
Graduate role building scalable data pipelines and lakehouse architecture to support AI and analytics at a global fragrance and flavor company.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW systems, focusing on ETL pipelines, data modeling, and Power BI reporting.
Lead and evangelize data engineering standards across NN Group’s global teams, driving best practices, community engagement, and internal learning programs using modern lakehouse platforms like Databricks.
Builds batch and near-real-time data pipelines in PySpark on Databricks, designs Delta Lake schemas, and collaborates with product/QA to deliver reliable data products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.