Senior Data Engineer

SUMMARY:
Are you a Senior Data Engineer passionate about building scalable data platforms and transforming complex data into powerful business insights? This is an exciting opportunity to work with high-volume transactional data, modern data engineering technologies, and mission-critical business systems in a fast-paced, data-driven environment.

POSITION INFO:
Join an innovative organisation where data lies at the heart of strategic decision-making, operational excellence, and business growth. As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable data solutions that support reporting, analytics, fraud detection, automation, and future AI initiatives. You will work with large-scale datasets from multiple business systems and collaborate closely with analysts, developers, architects, and business stakeholders to deliver reliable, high-quality data products. This role offers the opportunity to influence data architecture, implement modern engineering best practices, and contribute to the evolution of a robust enterprise data platform. Key Responsibilities: Design, develop, and maintain scalable ETL\/ELT pipelines to support business data requirements Build and optimise data products for advanced analytics and reporting initiatives Integrate and harmonise data across multiple transactional, accounting, and CRM platforms Develop and maintain high-performance data management systems and workflows Create prototypes and proofs-of-concept for new data initiatives and technologies Implement data quality controls, monitoring processes, and performance optimisation strategies Collaborate with architects, analysts, and technical teams to improve data reliability, accessibility, and governance Research and evaluate new technologies, tools, and methods for data acquisition and management Maintain data architecture documentation, standards, and deployment processes Contribute to disaster recovery planning and business continuity initiatives Job Experience and Skills Required: Education: Degree in Information Systems, Computer Science, Mathematics, Statistics, Finance, or a related quantitative field Experience: Minimum 8 years' experience in Data Engineering or related disciplines Proven experience delivering Python-based data engineering solutions Experience working with large-scale data environments and complex integrations Agile\/Scrum experience advantageous Technical Skills: Advanced SQL development and optimisation Python development for data engineering and automation ETL\/ELT pipeline development and orchestration Data orchestration tools such as Airflow SQL Server and PostgreSQL Data transformation, automation, and integration Advantageous: Dimensional modelling and data warehouse design Experience with Sage One, Xero, Business Central, HubSpot, or Microsoft Dataverse Payments, fintech, or financial services industry experience Additional Requirements: Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Ability to work collaboratively within cross-functional teams Passion for data quality, scalability, and continuous improvement Apply now! For more exciting IT vacancies, please visit: I also specialise in recruiting in the following: Data Engineer Software Developer 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: Karmishka Naidoo Specialist Recruitment Consultant Connect with me on LinkedIn!