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Aws data engineer (senior) 1221 / 1154 tt
Build and maintain AWS-based big-data pipelines using Python, PySpark, Terraform, and AWS Glue to move and transform data securely and reliably.
Data architect
Lead enterprise data and AI strategy, design scalable data ecosystems, and architect cloud-native platforms while mentoring teams on modern data technologies and AI/ML solutions.
Senior cloud data engineer: lakehouse & real-time pipelines
Senior data engineer building cloud lakehouse pipelines and real-time data flows for an online-gaming company, migrating legacy systems and mentoring junior engineers.
Senior machine learning engineer
Design, build, and deploy ML models to improve prediction, classification, and personalization across Absa’s African banking operations, using Python, MLOps, and cloud-native patterns while ensuring responsible AI and regulatory compliance.
Principal data engineer — databricks & platform lead
Leads Databricks-based data pipelines, optimizes costs, and designs models while mentoring engineers and collaborating with Finance and IT on SAP S/4 HANA, Fivetran, and Power BI.
Senior data engineer
Design and optimize data pipelines for hybrid cloud environments, migrate on-prem databases to a cloud lake house, and build scalable ETL/ELT processes for an online gaming company.
Senior data engineer — pipelines, ml & bi leadership
Senior Data Engineer at a Cape Town tech consultancy building and optimizing data pipelines, leading BI/ML initiatives, and mentoring junior engineers.
Expert data engineer
Build and maintain secure, large-scale cloud data pipelines using AWS services, Python, and Spark to provision enterprise analytics and operational data while ensuring governance and compliance.
Data Ops/ Data Engineer
Builds and maintains ETL pipelines in Python and Apache Airflow to process telecom and marketing data, while managing LAMP/CPanel servers and optimizing large databases for ML platforms.
Aws data engineer market related
Builds and maintains AWS-based big-data pipelines for a climate-tech company, using Glue, S3, RDS/DynamoDB, PySpark, and Terraform.
Senior data engineer, marketing analytics & pipelines
Build and maintain data pipelines and infrastructure for marketing analytics using GCP, Matillion, Snowflake, and Rudderstack to power digital reporting and product insights.
Lead data engineer – fintech data modernization
Lead a team to modernize data infrastructure for a fintech company, designing and maintaining scalable pipelines with Azure, Snowflake, and ELT/ETL tools while mentoring engineers and shaping governance.
Senior data engineer / platform lead
Lead the design and scaling of a modern data platform, building robust pipelines and mentoring engineers to ensure reliable, governed data foundations for analytics and reporting.
Data engineer
Designs, builds, and secures data pipelines and warehouses for banking systems using SQL, Python, Spark, and APIs.
Senior data engineer
Build and optimize Microsoft-based data infrastructure for real-time financial analytics, fraud detection, and BI using Azure Data Platform, Microsoft Fabric, and SQL Server.
Data engineer iii
Designs and maintains scalable data pipelines and platforms to support analytics and AI use cases using SQL, Python/Java, and cloud services like AWS/Azure.
Data engineer
Designs and maintains scalable data pipelines using Python, SQL, Spark, and Azure tools to feed analytics and AI systems.
Ai data engineer: build scalable generative ai solutions
Build and deploy scalable generative AI solutions using Azure AI Foundry and Copilot Studio to automate business processes.
Data engineer iii – ai-ready analytics & pipelines
Designs and maintains scalable data pipelines to feed AI-ready analytics, writing and optimizing SQL code while collaborating with partners to turn data needs into automated solutions.