Azure Data Engineer

SUMMARY:
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POSITION INFO:
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   * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent   * If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.