Data Engineer (MSF)

Role Overview

The Data Engineer will design, develop, and maintain robust data infrastructure that enables analytics and insights across the organisation. The role involves collaborating with business stakeholders, data analysts, and other technical teams to deliver scalable data solutions that support data-driven decision making.

What You Will Do

Responsibilities include requirements analysis and solution design, data pipeline architecture and design, data pipeline development and implementation, data infrastructure maintenance and optimisation, and data modelling and architecture.

Why It Might Be a Fit

The ideal candidate will have a minimum of 3-5 years of experience in data engineering, data analytics, or related technical field, with demonstrated experience in designing and implementing data pipelines and analytics solutions.

Requirements

• Minimum 3-5 years of experience in data engineering, data analytics, or related technical field
• Strong knowledge of data modelling concepts
• Comprehensive understanding of modern data architecture patterns
• Proficient in Python programming language and data manipulation libraries
• Solid foundation in data engineering principles
• Knowledge of Databricks and AWS cloud services
• Strong analytical and problem-solving skills
• Excellent communication skills

Benefits

• Leave benefits
• Employee wellness programs
• Flexible work arrangements
• Market-competitive suite of perks