Senior Data Engineer We are seeking a Senior Data Engineer to build and scale the data infrastructure that underpins the entire APEX platform. Zenith – our data collection and aggregation layer – is the foundation everything else runs on. You will architect ETL/ELT pipelines that ingest structured and unstructured data from diverse sources across agriculture, mining, retail, and banking, transforming it into the intelligence layer that powers Quantum's AI analytics, Prism's visualisations, and Vector's verification processes. Responsibilities Design, build, and maintain the Zenith data aggregation layer , the core infrastructure of the APEX platform Develop scalable ETL/ELT pipelines to ingest data from APIs, databases, file systems, web scraping sources, and IoT devices Implement data quality checks, monitoring, and alerting to ensure accuracy, reliability, and consistency Optimise data storage, partitioning, and query performance for analytical and operational workloads Collaborate with ML engineers to prepare training datasets and serve model outputs through the data layer Design scalable data models supporting multi-tenant, multi-industry use cases Contribute to data governance, lineage tracking, and access control frameworks Mentor junior engineers and promote best practices in data engineering and pipeline design Qualifications & Experience 5+ years' experience in Data Engineering or Data Platform development Strong proficiency in Python and SQL Experience building and operating large-scale ETL/ELT pipelines (Airflow, dbt, Spark, or similar) Strong understanding of data warehousing concepts and dimensional modelling Experience with cloud data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery) Excellent written and verbal English communication skills Reference Number: NG61249 – Permanent Hybrid role in Johannesburg offering a salary up to R1 mil per annum (salary negotiable based on experience). #J-18808-Ljbffr