Azure Data Engineer job vacancy in Cape Town. PBT Group is seeking an Azure Data Engineer to join a modern, highly analytical environment within the SRS Data Science division. This role is ideal for a technically strong professional with 2–5 years of experience, a solid academic foundation, and a passion for building scalable, cloud-native data solutions. The successful candidate will contribute to both internal data initiatives (including reporting automation) and high-impact client projects, supporting advanced analytics and AI-driven solutions built on the Azure ecosystem. Key Responsibilities: Partner with business analysts and stakeholders to translate business needs into technical solutions Design and implement scalable data ingestion and transformation frameworks Develop robust ETL / ELT pipelines using Azure-native technologies Work extensively with Azure Data Factory, Azure Databricks, and AI-focused tooling Produce high-quality technical documentation, including architecture diagrams and runbooks Support ongoing enhancements, maintenance, and optimisation of data solutions Collaborate within cross-functional Agile delivery teams Minimum Requirements: 2–5 years’ experience in Data Engineering or related roles Bachelor’s degree in a relevant field (e.g. Computer Science, Data Engineering, Engineering, Statistics, Mathematics, Information Systems, etc.) Hands‑on experience with Azure data platform technologies Core Technical Skills: Strong working knowledge of: Azure Data Factory (ETL / data orchestration) Azure Databricks (data processing / analytics workloads) Python (especially Pandas / PySpark) or R Cloud-based data pipelines and transformations Complex data structures and scalable data design Preferred Experience & Knowledge: Advantageous but not strictly required: Exposure to AI / Machine Learning infrastructure (AI Foundry / ML deployment concepts) CI/CD concepts for data pipelines Git / version control workflows Agile delivery environments JIRA / Azure Boards or similar tools Designing resilient, modular data architectures Key Competencies: Strong analytical and problem-solving skills Ability to work independently in a remote environment Clear communication and documentation ability Comfort working with both technical and non-technical stakeholders Structured, quality-driven approach to engineering work Work Arrangement: Fully Remote Role (100%) This position is entirely remote, offering flexibility while working within a highly collaborative and technically progressive team. Environment & Culture: The team operates in a modern, innovation-driven environment with strong emphasis on: Cloud-native infrastructure Advanced analytics and AI Engineering best practices Continuous learning and professional growth Collaborative Agile delivery #J-18808-Ljbffr