Data Engineer – AR

Job Details

Job Title: Data Engineer

Location: Hybrid (On-site & Remote)

Overview

We are in the early stages of building a modern data infrastructure using Microsoft Fabric technologies. As part of our growth, we are looking for an experienced Data Engineer to support data transformation and integration initiatives, with a strong focus on Python-based development.

This role will play a key part in modernising legacy data processes and delivering scalable, efficient data solutions that support business applications.

Key Responsibilities

  • Design, develop, and maintain data pipelines for transforming and integrating data from multiple sources
  • Re-engineer and modernise existing legacy scripts and processes
  • Develop and optimise Python-based solutions for data integration and automation
  • Migrate data workflows into a Microsoft Fabric environment
  • Ensure data is transformed, structured, and stored efficiently for downstream consumption
  • Collaborate with stakeholders to deliver data solutions aligned with business requirements
  • Support data extraction, transformation, and export processes for target systems

Skills & Experience Required

  • Strong experience as a Data Engineer or in a similar role
  • Advanced proficiency in Python for data processing and integration
  • Solid understanding of databases, SQL, and data manipulation techniques
  • Experience designing and building ETL/data pipelines
  • Familiarity with modern data platforms (experience with Microsoft Fabric is highly desirable)
  • Experience working with and modernising legacy data systems

Working Arrangement

This is a hybrid role, requiring a mix of on-site collaboration for project work and remote working flexibility.

Preferred Experience (Nice to Have)

  • Experience with cloud-based data platforms
  • Exposure to data warehousing and analytics environments
  • Knowledge of data governance and best practices

Summary

This is an excellent opportunity for a Data Engineer who enjoys improving and modernising data systems, working with Python, and contributing to the development of a scalable data platform.