Azure Data Engineer

Employment Type
Contract

Experience
5 to 25 years

Salary
650

Job Published
13 April 2026

Job Reference No.
970717537

Job Description

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 / Py

Spark) 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.

Skills

Artificial Intelligence

Azure Databricks

Machine Learning

Microsoft Azure

Python

Industries

Consulting

Financial Services

Information Technology (IT)