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Data Platform Engineer (South Africa)
Senior data engineer building and maintaining scalable data pipelines and cloud infrastructure for an online education platform using Python, AWS, and dbt.
Big Data Platform Engineer – Hadoop & Spark
Build and optimize Hadoop/Spark data pipelines for a large bank, writing Java/Scala/Python code and SQL to process financial data.
Big Data Support Engineer
Empowering Africa’s tomorrow, together…one story at a time. Job Summary Work as part of an agile team to provide application support for specified tech products & services. This includes first line support &…
Big Data Support Engineer
Empowering Africa’s tomorrow, together…one story at a time. With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the…
Big data platform engineer
Builds and maintains Hadoop/Spark pipelines for a large bank’s data platform, ensuring reliable big-data workloads and collaborating with engineers and analysts.
Senior Data Solutions Engineer — Hybrid Analytics Leader
Designs and builds scalable data pipelines and analytics solutions in cloud environments, collaborating with architects to solve complex data challenges.
Senior Data Scientist & ML Engineer
Design and manage high-throughput data pipelines and real-time platforms using Airflow, Spark, and Kafka, and build predictive models and ML solutions to drive business insights.
Senior Data Platform Engineer: Scale, Govern, Lead
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.
AI-Driven Data Engineer — Azure Data Platform & Analytics
Designs and builds scalable data pipelines and analytics solutions on Microsoft Azure, focusing on Fabric and Data Factory to support data-driven products.
Remote Backend Data Engineer Consultant (AWS/Snowflake)
Designs and builds AWS-based data pipelines (Redshift, Glue) to integrate and process data for analytics and modeling teams.
Lead Data Engineer — Cloud Data Warehouse & ETL Leader
Lead a team to build and optimize enterprise data warehouses and ETL pipelines using SQL and Python, ensuring high data quality and performance.
Senior Databricks Data Engineer — Onsite in Cape Town
Design and build scalable data pipelines on Databricks for enterprise clients, modernizing legacy data environments and optimizing data processes.
Data Engineer - SAP ETL & Enterprise Integration (Remote)
Designs, builds, and maintains SAP-centric ETL pipelines and enterprise data integrations for a critical project, with occasional on-site support during go-live.
Senior Data Engineer: Scalable Platform & AI-Ready
Build and scale a payments data platform, design pipelines, and mentor engineers to turn raw data into insights for strategic decisions.
Senior Data Platform Engineer: Lakehouse Pipelines
Designs and builds scalable batch and real-time data pipelines for analytics and operations using modern lakehouse architectures.
Cloud Data Engineer: Build Scalable BigQuery Pipelines
Senior data engineer building and optimizing scalable cloud data pipelines on Google Cloud Platform, focusing on BigQuery, Python, and SQL to deliver reliable analytical products.
Data Engineer III – AI-Ready Analytics & Pipelines
Designs and maintains scalable data pipelines to enable AI-ready analytics, writing and optimizing SQL code while collaborating with teams to translate data needs into solutions.
Senior Data Engineer: Spark, Databricks & AWS
Build and maintain high-performance data pipelines using Python, SQL, and AWS, ensuring efficient data flow for analytics and operations.
Finance Data Engineer - ETL, Data Lakes & Warehouses
Designs and maintains scalable ETL pipelines and data warehouses to support analytics and decision-making in financial services.
Principal Data Engineer - Platform & People Leader
Leads the design and optimization of production data pipelines using Databricks, Python, and SQL while coaching junior engineers and collaborating with business stakeholders.