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Data engineer (mlops / analytics focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards for analytics within an AI-focused product team.
Data engineer (analytics & data platform)
Design and build scalable data pipelines and analytics platforms using Microsoft Fabric to consolidate SaaS and operational data into unified, business-ready datasets for reporting and insights.
Azure cloud data engineer real-time pipelines & data lakes
Designs and builds scalable Azure cloud data pipelines and lakes using Databricks, Azure Data Factory, PySpark, and SQL to process batch and real-time data while ensuring quality, governance, and security.
Data engineer – future talent pool
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines and warehouses for analytics and ML, integrating multiple sources using Python, SQL, and cloud tools.
Data Engineer
Designs and maintains scalable data pipelines using Python, SQL, Spark, and Azure tools to feed analytics and AI systems.
Data Engineer
Build and maintain data pipelines for financial analytics in a gaming company, ensuring reliable real-time and batch processing for payments and reporting using SQL, Python/Java, and streaming tools like Kafka.
Data Engineer
Designs and builds secure, scalable APIs (REST/SOAP) for data exchange, integrates systems with third-party services, and ensures compliance and performance using Azure and Python.
Data engineer
Builds and maintains a global data lake and pipelines using Databricks, SQL, Python, Scala, and Java to feed commercial data products and internal analytics.
Data engineer - databricks
Build and maintain scalable ETL pipelines using Python, SQL, PySpark, AWS, and Databricks to deliver clean data solutions for enterprise clients.
Data engineer
Designs, builds, and maintains scalable data pipelines and warehouses for an insurer, optimizing SQL Server, Databricks, and Power BI workloads to serve analytics teams.
Data engineer
Build and deploy cloud-native data platforms using Python, Spark, Kafka, and cloud services like AWS, focusing on batch and streaming pipelines.
Senior data engineer
Senior data engineer builds and owns a real-time analytics pipeline that ingests event-sourced data and JSON logs, models clean views, and powers dashboards and ML models on AWS with Spark and Databricks.
Senior data engineer
Design and scale robust data pipelines and lakehouse architectures to process IoT telemetry and critical infrastructure data, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Cloud data engineer
Designs and builds secure, scalable cloud data pipelines and platforms using Azure, Databricks, PySpark, and Kafka to power analytics and AI.
Cloud data engineer
Designs and builds secure, scalable cloud data pipelines and platforms in Azure to power analytics and AI for a leading bank in Sandton.
Senior data engineer
Designs and builds ETL pipelines, data models, and warehouses to consolidate operational data, enabling dashboards and insights for business stakeholders.
Data engineer
Build and maintain scalable data pipelines on Azure and AWS, integrating financial data sources with tools like Databricks, Glue, and Redshift to deliver clean, secure datasets for analytics and modeling.
MLOps Data Engineer: Databricks Pipelines & Analytics
Build and maintain Databricks pipelines, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting in an AI-focused environment.
Data engineer midrand
Build and maintain scalable Azure data pipelines and warehouses for an automotive mobility company using Python, Spark, SQL, and Azure services.