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Designs and implements scalable cloud data platforms on Azure/Microsoft Fabric, building ETL/ELT pipelines and ensuring data quality for large datasets while leading technical decisions and collaborating with stakeholders.
Builds and maintains scalable data models, integrates complex datasets, and resolves discrepancies across enterprise systems using Microsoft tools like Power BI, SQL, and Azure Data Factory.
The Senior Data Engineer will work with a federal government client to build and maintain robust data infrastructure. The role involves collaborating with cross-functional teams to support service delivery and enhanced analytics solutions.
Build and maintain AI-powered analytics pipelines and semantic layers that turn enterprise data into trustworthy, actionable insights for business users across procurement, manufacturing, and sales.
Design and build scalable data ingestion and streaming pipelines on Azure/AWS that feed AI and analytics systems, working with structured enterprise data and IoT/edge device data from manufacturing environments.
The Council for Professional Recognition is the nation’s leading credentialing organization for early childhood educators and the home of the Child Development Associate (CDA)® Credential—the most widely recognized…
The Senior Integration Architect designs and governs scalable enterprise integration solutions using Microsoft Azure services. The role involves creating technical architecture designs, defining API standards, and guiding engineering teams in implementing hybrid cloud integrations.
Designs and leads secure, scalable Azure cloud solutions, migrating infrastructure and enforcing governance while leveraging Gen AI to drive innovation and high uptime.
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Databricks, Python, SQL, and cloud tools to support analytics and reporting in Singapore.
Senior Data Engineer builds and maintains data pipelines, warehouses, and governance for government agencies using cloud platforms, Databricks, and Python/SQL.
The Group Data Engineer I will lead the design and implementation of scalable, cloud-based data platforms, including data lakes and warehouses, while ensuring data governance and security. The role involves architecting end-to-end data pipelines, mentoring team members, and collaborating across functions to support advanced analytics and AI initiatives.
Designs, implements, and optimizes data analytics solutions using Microsoft technologies including Azure Synapse, Data Factory, Power BI, and SQL Server. Transforms complex data into actionable insights and supports decision-making processes.
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT pipelines and data architecture on Microsoft Azure (Data Factory, Databricks, Synapse, ADLS Gen 2) for Manulife's data warehouse in Hong Kong.
Lead Data Engineer building and optimizing ETL/data pipelines on Azure (Data Factory, Databricks, ADLS Gen2, Synapse) using Python/PySpark, while mentoring a team and ensuring data quality and governance.
Lead Data Engineer on the Customer 360 Data Product, responsible for designing data integration pipelines, building scalable cloud data capabilities, and governing data products across the Customer & Sales domain.
For over 30yrs our client has been a trusted partner to enterprises, helping them navigate complex technology landscapes. We specialise in the "hard stuff" – managing and securing critical data, applications,…
Hands-on Solutions Engineer designing and delivering enterprise-scale data engineering solutions on Microsoft Azure and Microsoft Fabric, building data lakehouses, pipelines, and platforms for public sector and regulated industry clients.
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.
The Lead Data Engineer will design, develop, and optimize enterprise-scale ETL/ELT pipelines and data processing solutions using Azure technologies like Synapse, Databricks, and Spark. The role involves leading technical initiatives, mentoring team members, and ensuring data quality and platform reliability.
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