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Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
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 cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Lead Dynamics 365 CRM & ERP implementations integrated with Azure DevOps and a modern data hub, managing Agile/Waterfall projects, data ingestion, MDM, and Power BI reporting.
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…
Builds and optimizes data pipelines, models, and SQL queries in Azure and Microsoft Fabric to transform raw data into reliable, scalable analytics for business decisions.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and ETL processes in Azure, SQL Server, and Snowflake to power analytics and reporting for a nationwide bank.
Build and scale backend systems, data pipelines, and AI/ML data flows using Python, PostgreSQL, Kafka, and cloud platforms to power AI-driven products.
Design and build scalable data platforms and AI pipelines, integrating ML outputs into backend systems using PostgreSQL, Kafka, and Python.
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Designs and maintains Azure-based data pipelines, warehouses, and Databricks solutions, then builds Power BI dashboards to turn data into business insights.
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.
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.
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