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Senior Data & Analytics Engineer - Healthcare
Build a healthcare data platform using Databricks, PySpark, SQL and Azure to create real-time analytics pipelines, models and dashboards that turn raw data into actionable insights.
Online Marketing Senior Data Engineer
Senior Data Engineer builds and scales high-throughput marketing data pipelines and AI-driven infrastructure for a global travel platform, using Python, SQL, BigQuery, and Vertex AI.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage plants using Azure, Databricks, and time-series databases to enable AI-driven analytics and predictive maintenance.
Senior Data Engineer - Remote, Snowflake & ServiceNow
Senior Data Engineer builds and maintains robust data pipelines and architectures, automating ingestion workflows and integrating with ServiceNow for enterprise service management.
Lead Data Engineer: Cloud Data Platforms & AI
Lead the design and delivery of scalable cloud data pipelines and AI-driven analytics for a global manufacturing company, mentoring engineers and shaping data platform strategy.
Senior Data Engineer for Healthcare Data Pipelines & APIs
Designs and builds scalable data pipelines and APIs for healthcare applications using Python, FastAPI, PySpark, and AWS services.
Senior Data Engineer – Remote Pipelines & ServiceNow
Senior Data Engineer builds and maintains automated data pipelines in Python and Snowflake, integrating with ServiceNow and using OpenTelemetry for observability and SQL for validation.
Senior Node + React Full-Stack Engineer
Builds and maintains scalable full-stack apps using Node.js, React, and TypeScript, integrating ML/AI features and cloud services (AWS/Azure) in a product team.
Data Engineer
Design and build enterprise-scale data pipelines and warehouses, transforming raw data into clean, standardized formats for analytics and reporting using Azure, SQL, Python, and Databricks.
Senior Data Engineer - Pipelines, Azure & Data Modeling
Design and build enterprise data pipelines and workflows in Azure, model data for analytics, and enable data-driven decisions while collaborating with scientists and analysts.
Senior Data Platform Engineer - AI-Driven, Flexible Hours
Leads the design and operation of scalable data platforms and AI-assisted services, mentoring engineers and collaborating with data scientists to deliver reliable infrastructure.
Senior Cloud Data Engineer: Real-Time Pipelines & Edge Apps
Design and maintain scalable data pipelines and edge apps for real-time analytics using Spark, Kafka, Flink, and MongoDB/CassandraDB, deployed via OpenShift and Nginx.
Junior Data Engineer - Learn Modern Data Tech & AI
Build and maintain data pipelines, dashboards, and analytics solutions using SQL, Python, and modern data tools while learning from experienced engineers.
Senior Data Engineer – AI & Analytics Pipelines
Design and maintain scalable data pipelines and platforms to enable high-quality analytics and AI-ready data, ensuring reliability and governance.
Data Engineer
Design and scale enterprise-grade data platforms and pipelines to power analytics, AI, and data-driven decisions for Coca-Cola’s digital transformation in Johannesburg.
Data Engineer III
Designs and maintains scalable data pipelines and platforms to enable analytics and AI-ready data, using SQL, Python/Java, and cloud services like AWS/Azure.
Senior Data Engineer-06 Months Contract
Build and maintain scalable data pipelines and collateral data products for a global markets platform, ensuring data quality, governance, and integration within a DPL ecosystem.
Senior Data Engineer at Euro Staffs
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Data Engineer
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Staff Engineer, Process Engineering (Data Analytics)
Build and deploy AI/ML models for semiconductor manufacturing, optimizing process algorithms and edge inference pipelines to improve yield and efficiency.