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Data Engineering Specialist

1 month ago

Cremorne, Australia Accent Group Full time

Company Overview

Accent Group Limited is a leading digitally integrated retail and distribution business in the Apparel and Footwear performance and lifestyle market in Australia and New Zealand. With over 850 stores, 34 brands, and 30+ online platforms, we offer a diverse range of products to cater to different tastes and preferences.

Job Summary

We are seeking a talented Business Intelligence Developer to join our Technology Team at our Cremorne Office in Melbourne. This exciting opportunity within our Data & Analytics team will allow you to grow your expertise towards becoming a Data Engineer.

About the Role

You will be reporting to the Data Solutions & Architect Manager and will be responsible for leveraging your BI expertise with Microsoft BI and Azure Data tools to solve business problems through data. As you grow in this role, you will gain more exposure to Data Engineering projects, expanding your skills across data architecture, integration, and automation, setting you up for a successful transition into a more technical, hands-on Data Engineer role.

Key Responsibilities

  • Design, develop, and deploy data solutions that support business intelligence and reporting needs across both Azure and on-premise environments.
  • Build and maintain efficient and scalable data models, datasets, and views to ensure seamless data representation.
  • Continuously improve data integration platforms to enhance performance, availability, accessibility, and data integrity.
  • Take on increasing responsibilities in data architecture, integration, and automation, preparing you for a transition into a Data Engineer role.
  • Work with cross-functional teams to understand business requirements and translate them into scalable BI solutions. Troubleshoot, diagnose, and resolve technical issues.
  • Create, develop, and manage data integration, load routines, and data consolidation mechanisms following best practices.
  • Identify and implement internal process improvements, including automation and optimization of data infrastructure for scalability.

Requirements

  • Proven experience in data design and implementation, with expert knowledge of SQL scripting and best practices. Knowledge of major DBMSs (SQL Server, Oracle, MySQL) and specific tools (MSSMS, Oracle SQLDeveloper, HeidiSQL, etc).
  • Proficiency in SQL Queries and Optimisation (understanding joins, conditional expressions, indexing strategy, query plan analysis). Writing and managing views, stored procedures, functions, and triggers are critical.
  • Relational Database Design and Modelling (Diagrams, (de)normalization, data integrity, a solid design foundation of data storage and retrieval)
  • Data Security and Compliance (permissions, encryptions, auditing)
  • Proficiency in the Microsoft BI stack (SSIS, SSAS, Power BI, OLAP – both DAX, MDX), Data Warehousing and ETL Processes.
  • Hands-on experience with the Azure Data Platform, including Azure Data Factory, Azure Functions, Azure Data Lake, Azure Databricks and Azure DevOps.
  • Analytical and Statistical Knowledge – comfortable with basic statistical methods and understanding business metrics and KPIs.

Salary and Benefits

The estimated salary for this position is around $120,000 - $150,000 per annum, depending on experience and qualifications. We also offer a range of benefits, including professional development opportunities, flexible work arrangements, and a supportive team environment.

How to Apply

If you are passionate about business intelligence, data strategy, and ready to develop your skills in data engineering, please submit your application by clicking the 'Apply now' button below.