Azure Data Engineer

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

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* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.