We are seeking a skilled Data Engineer (Visualization Specialist) based in Cape Town. The role involves developing and deploying technical visualization products and analytical software for internal customers. Responsibilities Design, code, and deliver data products that assist with operations and decision making within the organization. Communicate technical concepts to stakeholders and customers, building relationships and representing the team positively. Consult with customers and leverage domain knowledge to identify and develop novel data products that add value. Create data models for complex business processes using standard database tools, ensuring flexibility, ease of consumption, and performance. Design and develop advanced visualizations with tools such as Vega and Power BI, optimizing for large datasets and browser rendering, and ensuring statistical correctness. Collaborate with data scientists to deploy and interpret machine learning models, and generate accurate visualizations from large language model prompts. Make data architecture decisions, including choices between stream processing and batch processing and strategies for historical data management. Qualifications Bachelor’s degree in a quantitative field (Engineering, Computer Science, Mathematics, Physics, etc.) Minimum of 2 years’ experience in a quantitative discipline (software, engineering, or equivalent postgraduate experience) Proven experience developing and delivering software products Strong written and verbal communication skills Oil & gas industry experience (upstream, drilling, oilfields) preferred Proficiency in a general‑purpose programming language and a database query language Familiarity with data visualization tools/grammars (Vega, D3.js) and BI platforms (Power BI) Solid understanding of statistics for creating accurate and meaningful visualizations Experience optimizing visualizations for large datasets Knowledge of algorithms and software design principles (advanced knowledge preferred) Experience working in Agile development environments #J-18808-Ljbffr