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Build and deploy scalable generative AI solutions using Azure AI Foundry and Copilot Studio to automate business processes.
Data Scientist builds predictive models and analytics pipelines to surface customer-insight opportunities for Capita and its clients, using Python, SQL, Power BI, and speech/text analytics.
Data Warehouse Engineer Revolutionize retail data with cutting‑edge technology! R 500,000 - R 660,000 per annum. Join a team dedicated to driving innovation and excellence in retail execution. This is an ideal…
Build and maintain scalable data pipelines and cloud-based data warehouses to feed analytics and ML systems using Python, SQL, and tools like Airflow and Snowflake.
Build and deploy AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry to automate processes and improve efficiency.
Design and build a Microsoft Fabric-based lakehouse and Power BI analytics platform, integrating data from multiple sources into unified pipelines and semantic layers.
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to enable analytics and insights for a fast-growing team.
Builds and operates analytics platforms, creating data pipelines, APIs, and dashboards with Angular/React and BI tools like Tableau/PowerBI.
Designs and builds scalable data pipelines and warehouses using MS SQL, Python, and Microsoft Fabric to power analytics and AI solutions in a hybrid role.
Data Scientist builds and optimizes data pipelines, delivers strategic insights, and drives improvement initiatives for clients and internal teams using analytics and predictive modeling.
Design, build, and scale a modern data platform; own end-to-end pipelines, ensure data quality, and mentor engineers using SQL and cloud platforms like AWS/Azure.
Designs and builds Azure-based data warehouses and ETL pipelines to power retail analytics, using SQL, SSIS, and GitHub.
Build and scale a payments data platform, design pipelines, and mentor engineers to turn raw data into insights for strategic decisions.
Lead the migration of a major bank to Azure Data Factory and Fabric, designing and building a modern data platform on-site.
Lead the design and scaling of a modern data platform, building robust pipelines and mentoring engineers to ensure reliable, governed data foundations for analytics and reporting.
Designs and builds a global datalake and ETL pipelines to power revenue insights and commercial decision-making using AWS, Azure, and Oracle Cloud.
Build and maintain AWS-based data pipelines, warehouses, and lakes for analytics and AI workloads using SQL, Python, and cloud services.
Design and build scalable data pipelines in Databricks, migrating SAP data to the platform and optimizing analytics workflows using PySpark, Delta Lake, and cloud storage.
Design and build scalable data pipelines and warehouses for a bank using Microsoft Fabric, Azure Data Factory, and Databricks.
Designs and maintains GCP-based data pipelines in Python and BigQuery to feed analytics and decision-making systems.
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