Johannesburg: Data Engineer/Architecture

Role overview You will: Design and maintain scalable, secure, high-performance data architecture Build robust ETL/ELT pipelines for batch and streaming data Enable analytics, BI, and AI workloads through reliable data platforms Ensure regulatory compliance and data governance for sensitive financial data Duties: Design and maintain scalable, secure, and high-performance data architectures Define data models, schemas, and standards across transactional and analytical systems Architect data lakes, data warehouses, and real-time data pipelines Ensure alignment with fintech regulatory and compliance requirements Build and maintain ETL/ELT pipelines for batch and streaming data Integrate data from internal systems, third-party APIs, and financial data providers Optimize data processing for performance, reliability, and cost efficiency Ensure data quality, consistency, and availability Develop and manage cloud-based data platforms (AWS, GCP, or Azure) Implement infrastructure-as-code and CI/CD for data pipelines Monitor and troubleshoot data systems in production Implement data security, access controls, encryption, and monitoring Support data governance, lineage, and metadata management Collaborate with compliance and risk teams on audits and regulatory needs Work closely with product managers, analysts, and ML engineers Provide technical guidance and best practices for data usage Document architectures, workflows, and standards Mentor junior data engineers (if applicable) Requirements: 5 years of experience in data engineering, data architecture Strong proficiency in SQL and data modelling (dimensional and/or normalized Experience building data pipelines using tools such as Airflow, dbt, Spark, or similar Strong programming skills in Python, Scala, or Java Hands-on experience with cloud data services (BigQuery, Redshift, Snowflake, Databricks) Experience with both batch and streaming data systems (Kafka, Kinesis, Pub/Sub) Solid understanding of data security, privacy, and governance principles Experience in fintech, banking, payments, or financial services Familiarity with regulatory frameworks (PCI DSS, SOC 2, GDPR) Experience supporting analytics, BI, and machine learning workloads Knowledge of event-driven and real-time data architectures Prior experience leading architectural decisions or data platform migrations