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Data Engineer
Build and maintain robust data pipelines and platforms that power analytics and business decisions across fintech, logistics, and edtech domains using SQL, ETL/ELT tools, and data warehouses.
Data Engineer (Semi-Senior) – Build Scalable Data Pipelines
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
Data Engineer – Proyecto
Build and maintain robust data pipelines in GCP using Python, SQL, and tools like Airflow and Spark to ingest, transform, and monitor large-scale datasets.
Data Engineer GCP
Build and maintain scalable data pipelines on GCP, using Python, SQL, Spark/Scala, and Airflow to enable analytics and automation for client projects.
Data Engineer Senior - Data Quality
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Data Engineer Sr
Design, build, and optimize scalable data pipelines and ETL/ELT workflows using GCP, dbt, and Airflow to integrate and process enterprise data from SAP and APIs.
Data Engineer
Design and build data pipelines and architectures to ingest, transform, and store data for clients, using Python, SQL, ETL tools, and cloud systems.
SENIOR AI/ML ENGINEER - Build Production AI Products Used by Millions of Gaming Players Worldwide – DURBAN – R1.5m – R1.6m
Senior AI/ML engineer builds production AI systems for a global iGaming company, deploying recommendation engines, LLMs, and AI agents that power player experiences used by millions.
Data Engineer | On-site | George, Western Cape
Design and build a modern, cloud-native data platform using GCP, Snowflake, and dbt to replace legacy systems and enable trusted analytics.
Senior AI/ML Engineer — Build Production AI for iGaming
Senior AI/ML Engineer builds and deploys production AI systems for an iGaming company, focusing on recommendations, LLM apps, and agents using AWS SageMaker, Airflow, Kubeflow, and LangChain.
Data Engineering Lead
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Production ML Engineer - End-to-End AI Pipelines
Build and maintain production ML pipelines and models in Python/Spark, orchestrating workflows with Airflow and collaborating with data scientists to deliver AI-driven business solutions.
Data Engineering Lead
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Senior database administrator
Senior database administrator role managing SQL Server and PostgreSQL environments, ensuring uptime, performance, and security for business-critical systems in a BPO setting.
Senior Data Engineer
Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Principal Data Engineer
Principal Data Engineer builds and optimizes high-performance data pipelines on Azure and Snowflake for a South African fintech, mentoring teams and modernizing data systems with ELT/ETL tools like Airbyte and dbt.
Data Engineer
Design and maintain scalable data pipelines using Airflow, Spark, Kafka, and cloud warehouses like Snowflake or BigQuery, optimizing performance and delivering data-driven insights.
Data Engineer
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Machine Learning Engineer (Mid)
Build and deploy production ML systems: design pipelines, orchestrate with Airflow, and maintain scalable models for fraud detection, automation, and customer insights.
Cloud Engineer (Data Engineering Focus)
Build and maintain scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.