Azure Data Engineer

Location: Worcester

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 RCloud-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
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