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 scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
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…
Build and maintain Azure-based data pipelines and warehouses using Synapse, Databricks, and ADF to turn SAP and other sources into clean, business-ready datasets.
Build and maintain scalable Azure data pipelines and lakehouse architectures to transform raw enterprise data into analytics-ready datasets for BI and decision-making.
Design and build scalable data pipelines and cloud-native platforms using Python, SQL, Azure Synapse, and Microsoft Fabric for enterprise clients.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Build and maintain cloud-based data pipelines and warehouses to feed analytics and AI at a large cold-storage logistics company using SQL, Python, and Snowflake/Azure.
Design and build end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational and dimensional data in T-SQL/PySpark to deliver modern, scalable analytics platforms for enterprise clients.
Builds and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL to ensure reliable data solutions.
Senior Data Engineer builds and optimizes scalable data pipelines and ETL processes for HEINEKEN’s global data infrastructure, using Python, SQL, Azure, Databricks, and Kafka.
Build and maintain scalable data pipelines on Azure and Databricks, using PySpark, SQL, and ETL/ELT processes to support analytics and reporting.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Designs and builds scalable data pipelines and BI models using Microsoft Fabric and Azure Synapse Analytics for a 3-month contract in Letterkenny.
Build and maintain scalable data pipelines using Microsoft Fabric, SQL, Spark, and Python to enable analytics and reporting in a hybrid work setup.
Senior Data Engineer builds and optimizes Azure-based data pipelines and warehouses for a bank using Microsoft Fabric, Databricks, and Azure Data Factory.
Lead the migration of a major bank to Azure Data Factory and Fabric, designing and building a modern data platform on-site.
Build and optimize high-performance Spark data pipelines in Python, migrating legacy SQL ETL to Delta Lake and Airflow orchestration while ensuring privacy-preserving data collaboration.
Design and build scalable data pipelines and warehouses for a bank using Microsoft Fabric, Azure Data Factory, and Databricks.
Designs and builds secure, scalable cloud data pipelines and platforms in Azure to power analytics and AI for a leading bank in Sandton.
We couldn't check your fit for this role — add a CV to your profile to see it next time.