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About Us Methys Group is a unique international technology hub with expertise in Digital, Performance and Innovation through. We are focused on customer success, driving maximum business performance. Leveraging on…
Our client is a leading European provider of premium natural pet nutrition, focused on supporting pet health and wellbeing through high-quality, minimally processed food. The business offers a broad range of fresh and…
About the Role We are looking for a proactive, well-spoken, and relationship-driven individual to join our growing team as a Sales & Client Relations Specialist. This role focuses on speaking with prospective and…
Leads end-to-end delivery of strategic insurance (life) projects, managing cross-functional teams, budgets, timelines, and risk mitigation in a fast-paced environment.
We are looking for a highly motivated Sales Representative to join our clients Interventional Systems team, covering the region of Cape Town to focus on our Interventional Systems (IS) portfolio. Both Peripheral…
Builds and optimizes AI-powered data pipelines in Python, SQL, Databricks, and Azure Data Factory for lakehouse architectures.
Designs and maintains cloud-native data platforms using SQL/data warehousing, Spark/PySpark, Databricks, Kafka, and Airflow for enterprise-scale data pipelines.
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.
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.
A 12-month mentored program for graduates to build BI/data engineering skills via hands-on training, mentorship, and exposure to global data projects.
Builds and maintains scalable data models, pipelines, and semantic layers to bridge data engineering and analytics, ensuring reliable insights during a platform migration.
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.
Designs and builds scalable data science and ML solutions for retail analytics, delivering data-driven insights to drive business decisions and innovation.
Build and maintain data pipelines, clean and model data, and create BI reports for a FinTech company using SQL, SSIS, and Power BI.
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.
A senior engineer who designs scalable cloud/data solutions, mentors juniors, and bridges customer needs with technical execution using Java/.Net/Python in a product environment.
Creates and maintains engineering drawings for Sasol’s operations, ensuring compliance with internal specs and project accuracy while collaborating with teams to support project execution.
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.
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