Data Engineer

SUMMARY:

POSITION INFO:
Key Responsibilities Data Integration & Development Design, develop, maintain, and enhance data integrations using Python , SQL , and modern orchestration tools. Build and support data pipelines that integrate information from databases, APIs, files, and various external systems. Develop reusable, scalable, and maintainable integration components. Implement robust data validation, monitoring, logging, and error-handling processes. Ensure the accuracy, reliability, and consistency of data across systems. Production Support & Reliability Participate in a scheduled production support rotation. Investigate and resolve integration failures, data quality issues, and system incidents. Diagnose root causes and implement sustainable long-term fixes. Contribute to improvements in system performance, reliability, and maintainability. Software Engineering Develop high-quality code following established engineering standards and best practices. Perform testing, debugging, and code reviews to ensure solution quality. Work with Git-based version control and collaborative development workflows. Contribute to technical documentation and continuous improvement initiatives. Collaboration & Continuous Improvement Partner with cross-functional teams to deliver data-driven solutions. Participate in technical planning, solution design, and engineering discussions. Identify opportunities to automate processes and improve operational efficiency. Support the ongoing evolution of data platforms and integration architectures. Required Skills & Experience Core Technical Skills Strong experience developing applications and integrations using Python . Proficiency in SQL and working with relational databases. Experience building and maintaining data pipelines, backend applications, or system integrations. Experience working with APIs and structured data sources. Familiarity with Git, code reviews, and collaborative software development practices. Understanding of software engineering principles, including: Modular code design Automated testing Error handling Maintainable coding practices Operational & Troubleshooting Experience Experience supporting production environments and troubleshooting operational issues. Ability to analyse logs, investigate incidents, and determine root causes. Understanding of data quality, data integrity, and integration challenges. Experience monitoring and maintaining business-critical systems. Preferred Skills Experience with one or more of the following technologies would be advantageous: Apache Airflow or other workflow orchestration tools Pandas, NumPy, or related Python data-processing libraries AWS cloud services Docker and containerisation technologies Linux environments Kubernetes PostgreSQL TimescaleDB Monitoring and observability platforms Industrial data integrations and time-series data environments Key Competencies Strong analytical and problem-solving skills. Ability to take ownership of work and drive issues through to resolution. Excellent attention to detail and commitment to quality. Strong communication and documentation skills. Collaborative approach to working with technical teams and stakeholders. Curiosity, initiative, and a continuous learning mindset. Ability to adapt quickly and work effectively in a dynamic environment. Apply now! For more IT jobs, please visit \/> I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information contact: Sfundo Shoba Recruitment Consultant