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Data Engineer: ML/AI Pipelines & Predictive Analytics
Designs and maintains ML/AI data pipelines and predictive analytics systems using AWS, processing diverse datasets at scale.
Senior Data Engineer - JHB
Senior Data Engineer builds and maintains scalable pipelines for telecom CDRs and real-time data using Kafka, Spark, and Flink, ensuring clean, query-ready datasets for analytics and ML.
Senior Enterprise Data Engineer
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Data Engineer II — ELT Pipelines & Snowflake Modeling
Build and maintain scalable ELT pipelines and Snowflake data models to power analytics, billing, and AI/ML workloads for a global gaming company.
Data Engineer Level 2
Build and maintain cloud-native data pipelines in Snowflake and AWS Lambda using SQL, Python, dbt, and orchestration tools to power analytics, billing, and AI/ML workloads for a gaming company.
(1710) Data Engineer - BSTD
Build and maintain scalable data pipelines for the South African Reserve Bank, enabling Data as a Service and advanced analytics using Python, Spark, and cloud platforms.
Data Ops/ Data Engineer
Build and maintain ETL pipelines in Python and Apache Airflow to process telecom and marketing data, while managing LAMP/CPanel servers and optimizing large databases for ML use.
Data Engineer (MLOps / Analytics Focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
Senior Data Engineer
Design and maintain cloud-native data pipelines and storage for a non-profit’s mission-critical platform, using Python, SQL, and Google Cloud/AWS.
Senior ML Ops Data Engineer – Scalable Pipelines
Builds and scales ML pipelines using Scala and Python, applying ML Ops practices to improve model performance and reporting.
Intermediate Data Engineer
Builds and scales real-time data pipelines and APIs using Scala/Java, cloud platforms, and distributed systems like Spark and Kafka to process billions of records.
Data Engineer Consultant
Build and maintain real-time data pipelines on AWS (Redshift, S3, Glue, Lambda) and Snowflake to power analytics and decision-making.
Senior Data Engineer
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and integrations using Python, SQL, and cloud platforms to enable analytics and ML at a fast-growing product company.
Senior Data Engineer
Design and build scalable Microsoft-based data pipelines and warehouses that power analytics, BI, and ML for enterprise clients.
AI Data Engineer
Designs and builds scalable data pipelines and feature stores to power AI models and generative AI solutions, ensuring data quality, lineage, and compliance for machine learning workflows.
Senior Data Engineer
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Senior Data Engineer
Build and own scalable data pipelines and analytics infrastructure for a global crypto exchange, using Python, SQL, dbt, and GCP/BigQuery to deliver clean, reliable datasets for trading, risk, and business intelligence.
Senior Data Engineer
Design and build scalable data pipelines and platforms in Python and SQL, integrating cloud and on-prem systems to power analytics and AI solutions.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses for a fintech payments platform, enabling analytics and AI readiness with SQL, Python, and cloud tools.
Remote Senior Full-Stack Engineer — AI & RPA
Senior Full-Stack Engineer building AI-powered RPA pipelines and cloud-native backends, plus data-rich frontends, while mentoring peers.