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Senior full-stack engineers placed with a banking-industry client in Gauteng, South Africa, designing and building cloud-native applications: AWS cloud infrastructure, .NET/C# backend services and REST APIs, Angular frontends, plus CI/CD and infrastructure-as-code automation.
A senior data engineer designs, builds, and supports scalable data solutions on Microsoft Fabric, developing ingestion, transformation, and integration pipelines (Data Pipelines, Dataflows Gen2, OneLake/Lakehouse/Warehouse) while writing production code in C# and Python, SQL/PySpark processing, shell scripts, and Power BI semantic model support.
Senior full-stack engineer joining a banking-industry client: designing, building, and running cloud-native applications on AWS, with a C#/.NET Core backend, Angular frontend, and DevOps automation (CI/CD, Terraform, Docker, Kubernetes).
Senior Data Engineer designing, building and optimising scalable data solutions on Microsoft Fabric: ingestion, transformation and integration pipelines, OneLake/Lakehouse/Warehouse, and Power BI semantic models. Writes production-quality code in C# and Python, plus shell scripts, SQL and PySpark for data processing.
Praesignis (Pty) Ltd in Gauteng, South Africa seeks a Senior Data Engineer to design scalable data solutions on Microsoft Fabric — building ingestion pipelines, working with OneLake/Lakehouse, and enabling Power BI semantic models — coding in C# and Python. DP-700 certification is essential; Azure experience is preferred.
A data engineer role with an established insurance company in Soweto (posted via recruiter Praesignis), building and maintaining the data pipelines and infrastructure that power AI/ML initiatives. Core stack: Microsoft Fabric (OneLake, Lakehouse, Data Factory), SQL Server/T-SQL, Python/PySpark, and Power BI in a hybrid work model.
Praesignis is hiring an AI Data Engineer in Soweto, South Africa, to build and maintain scalable data pipelines powering AI initiatives. Day to day they design and optimize ETL/ELT processes, ensure data quality, security and governance, and collaborate with data scientists and ML engineers using SQL, Python, PySpark, and Microsoft Fabric.
A senior data engineer builds SQL scripts, SSIS packages and ETL workflows for a compliance technology platform inside a leading South African financial services firm, with a focus on data quality, governance and reliable production deployments.
Data Engineer developing and maintaining SQL/SSIS ETL pipelines, data integrations, reports and batch jobs within a compliance-technology environment at a leading South African financial services organisation. Core stack: SQL Server, SSIS, ETL/ELT, data warehousing and query tuning.
Senior Software Engineer at Praesignis (Gauteng, South Africa) joining a banking-focused team. Day to day spans AWS cloud engineering, .NET/C# enterprise backend work, Angular frontend development, and DevOps/automation, designing end-to-end solutions across databases, APIs, microservices, security, and performance using Agile delivery.
Praesignis (Pty) Ltd is hiring a mid-senior Quality Engineer in Gauteng, South Africa to work in banking IT. The role centers on cloud validation, API and microservices testing, CI/CD and DevOps quality practices, plus performance, security and end-to-end functional testing, with hands-on test automation as a plus.
Praesignis (Pty) Ltd in Gauteng, South Africa seeks a hands-on Data Engineer to build, maintain, and support data integration, ETL, and batch-processing solutions for data warehousing. The role centers on strong SQL and SSIS skills, plus data-quality investigation, stakeholder collaboration, Agile work, and on-call production support.
Hands-on Data Engineer developing, maintaining and supporting SQL, SSIS/ETL and scheduled batch data pipelines for a banking-industry client in Gauteng, South Africa. Day-to-day work covers data warehousing, source-to-target reconciliation, troubleshooting data-quality issues, and rotational on-call production support.
A data engineer designs, builds, and optimises data solutions on Microsoft Fabric — developing ingest, transformation, and integration pipelines using OneLake, Lakehouse, and Fabric Warehouse — with strong SQL and Power BI skills to deliver scalable data models.
A data engineer role centred on Microsoft Fabric: designing and maintaining Fabric data solutions, building ingestion/transformation pipelines (OneLake, Lakehouse, Fabric Warehouse, Data Pipelines, Dataflows Gen2), developing data models, and supporting Power BI semantic models using SQL and PySpark, while engaging with business stakeholders.
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