Pretoria: AWS Cloud Data Engineer

JOB OVERVIEW / ROLE PURPOSE We are seeking a Senior Data Engineer with expertise in cloud data platforms, big data pipelines, and advanced analytics . In this role, you’ll architect and maintain scalable, high-performance data ecosystems that power machine learning models, BI dashboards, and AI-driven decision-making . You’ll combine hands-on engineering with strategic leadership , mentoring junior engineers, guiding best practices, and collaborating with data scientists, software engineers, and business stakeholders. This role is ideal for someone who thrives in cloud-native environments (AWS preferred) and wants to make a real impact with data. “cloud data platforms” “big data pipelines” “real-time and batch data” “AI-driven decision-making” “machine learning workflows” “ETL / data ingestion” “Power BI, Tableau” “AWS data engineer jobs” MINIMUM REUIREMENTS Qualifications: Degree or diploma in Computer Science, Information Systems, Engineering, or a related field. AWS certifications or equivalent practical expertise. Experience: 4 – 7 years of hands-on data engineering Experience leading or mentoring junior engineers . Advanced proficiency in Python and SQL . Strong experience with BI tools like Power BI for data storytelling . Strong database design knowledge and experience with data warehousing techniques and modelling approaches . Experience building and maintaining cloud-based data architecture (AWS preferred) . Hands-on experience with data ingestion from , amongst others: Microsoft SQL Server, Oracle, MongoDB, Amazon S3 and other AWS data services, HTTP APIs, SFTP , and various file systems. Proficiency with Git, CI/CD pipelines , and Agile methodologies . Hands-on designing and development of complex data pipelines from multiple sources into a central data platform/lakehouse . Familiarity with machine learning workflows and supporting analytics teams . Strong problem-solving, analytical, and communication skills Ability to work independently and take initiative on projects Business acumen and ability to translate technical work into business impact WHAT YOU WILL DO! Data Engineering & Pipeline Development Design, build, and optimize cloud-native, big data pipelines (AWS, Python, SQL). Develop real-time and batch data pipelines for analytics and AI/ML applications. Ensure data quality, scalability, and governance across all pipelines. Data Platform Design & Architecture Contribute to the architecture of cloud data platforms, data lakes, and lakehouses. Implement automation, monitoring, and CI/CD pipelines for modern data workflows. Integrate data from multiple structured and unstructured sources (SQL Server, Oracle, MongoDB, APIs, AWS S3, file systems). Leadership & Mentorship Lead by example — provide technical mentorship to junior engineers. Champion best practices in data engineering, testing, and DevOps. Conduct code reviews and encourage knowledge sharing. Collaboration & Business Impact Partner with data scientists, BI analysts, and business teams to deliver actionable insights. Translate complex business requirements into technical solutions. Develop and maintain data products, self-service analytics, and BI dashboards (Power BI preferred). Continuous Innovation Stay ahead of the curve on AI, machine learning workflows, and modern data tools. Explore opportunities to implement new technologies in big data, real-time streaming, and cloud data services. Drive a data-first culture across the organisation.