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Data Analytics Engineer, Growth Marketing
The Data Analytics Engineer drives data activation and growth marketing by building pipelines, optimizing customer journeys, and analyzing marketplace economics (LTV, CAC, margins) to scale a food-waste marketplace. Core tech: SQL, Python, BigQuery, dbt, and marketing platforms like Customer.io.
Growth Analytics Engineer: Data Activation for Market Scale
A Growth Analytics Engineer who bridges data infrastructure and marketing to optimize customer acquisition cost, lifetime value, and net revenue retention for a two-sided marketplace, using SQL, Python, BigQuery, and marketing tools.
Snowflake Data Engineering Consultant
Designs Snowflake-based data pipelines and models for banking/financial analytics, specializing in Jack Henry core banking data, dbt pipelines, and performance optimization.
Databricks Data Engineer: Lakehouse Architect & Lead
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
Manager Data Engineering
Lead a team to build and maintain scalable, secure data platforms and pipelines in the cloud, enabling analytics and AI across a financial-services company.
Head of Data Engineering & Platform Innovation
Leads a data engineering team to design, build, and govern scalable data platforms and pipelines, collaborating with analytics, data science, and business teams to enable AI and data-driven decisions in a fintech context.
AI Data Engineer (Azure) - Immediate Start
Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Senior Data Platform Engineer - Lead Python & AI Pipelines
Design and build scalable data platforms and AI pipelines in Python, collaborating with analysts and data scientists to deliver reliable data services and APIs.
Data Engineer Graduate Programme
A 12-month graduate program for aspiring data engineers, focusing on hands-on training in data engineering, business intelligence, and mentorship to launch a career in data-driven roles.
Graduate Data Engineer: Mentored BI Training (12 Months)
A 12-month mentored program for graduates to build BI/data engineering skills via hands-on training, mentorship, and exposure to global data projects.
Analytics Engineer II
Builds and maintains scalable data models, pipelines, and semantic layers to bridge data engineering and analytics, ensuring reliable insights during a platform migration.
Analytics Engineer: Build Scalable Data Models & Pipelines
Builds and maintains scalable data models, pipelines, and semantic layers to support fintech analytics, ensuring data quality during migration from legacy systems to modern platforms.
Hybrid Senior Data & ML Engineer
Leads design and delivery of scalable data platforms in a hybrid Cape Town setting, focusing on automated pipelines, SSOT, and ML-ready data structures for advanced analytics and AI use cases.
Senior Data Engineer
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Data Engineer
Designs and maintains pipelines to ingest premium bordereaux and other external insurance data into Guardrisk’s systems, ensuring accuracy and compliance with Azure-based data architecture.
Finance Data Engineer: Azure Data Pipelines & Power BI
Designs and maintains scalable data pipelines for financial reporting, bridging finance and IT teams to ensure accurate, governed data delivery via Azure and Power BI.
Data Engineer
Builds and maintains scalable data pipelines and financial reporting systems using Microsoft Azure, Fabric, and Power BI to improve data accuracy and operational decision-making for finance and operations teams.
Senior Data Engineer
Senior Data Engineer builds and optimizes PySpark ETL pipelines and ML scoring models to improve contact data accuracy for millions of business professionals, working with AWS services and medallion lake architecture.
DevOps Engineer
The DevOps Engineer automates deployments, manages CI/CD pipelines, and ensures scalable, secure infrastructure for apps, APIs, microservices, and AI/ML services using Docker, Kubernetes, Terraform, and monitoring tools like Prometheus and Grafana.