Data Engineering Consultant - Job Opportunity at Avanade

Brisbane, Australia
Full-time
Mid-level
Posted: March 3, 2025
Hybrid
AUD 120,000 - 150,000 per year based on Brisbane market rates and required expertise level

Benefits

Industry-leading professional development with 80+ hours annual training
Paid Microsoft certifications and clear career progression path
Global technical resource access and collaboration opportunities
Dedicated career advisor for personalized growth planning
Comprehensive health and wellness benefits package
Strong emphasis on work-life balance and flexible working arrangements

Key Responsibilities

Lead end-to-end data pipeline architecture design and implementation using Azure cloud technologies
Drive business transformation through advanced analytics and data-driven decision making
Architect and deliver enterprise-scale data solutions integrating multiple data sources and types
Design and implement data service APIs and visualization solutions for stakeholder consumption
Establish data governance frameworks and quality monitoring processes
Collaborate with cross-functional teams to translate business requirements into technical solutions
Support AI/ML initiatives through robust data preparation and pipeline development

Requirements

Education

Bachelor's degree in Computer Science, Information Technology, Business or related field

Experience

2-4+ years of relevant professional experience

Required Skills

Mastery of .NET C# and T-SQL Python and Spark Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL DW, Azure SQL, Azure App Service Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics, Azure IOT Hub, Azure Event Hub Lambda and Kappa architecture patterns Master Data Management (MDM) and Data Quality tools Visual Studio, PowerShell Scripting, ARM templates Git and Azure DevOps Strong team collaboration

Certifications

Microsoft Azure certifications preferred
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Sauge AI Market Intelligence

Industry Trends

Rising demand for cloud-native data engineering skills as organizations accelerate digital transformation initiatives Increasing focus on real-time data processing and IoT integration capabilities in enterprise data architectures Growing emphasis on data governance and quality management due to regulatory pressures and data privacy concerns Shift towards unified data platforms that combine traditional warehousing with modern lakehouse architectures

Role Significance

Typically part of a 5-8 person data engineering team within larger technology delivery organization
Mid-level position with significant technical responsibility and potential for rapid advancement

Key Projects

Enterprise data platform modernization initiatives Real-time analytics and IoT data integration projects Data pipeline optimization and automation programs Cross-functional machine learning infrastructure development

Success Factors

Strong foundation in cloud-native data architecture principles and patterns Ability to bridge business requirements with technical solutions effectively Experience with modern DataOps and MLOps practices Excellent communication skills for stakeholder management Proactive approach to learning new technologies and methodologies

Market Demand

Very High - Critical shortage of data engineers with cloud platform expertise, particularly in Azure ecosystem

Important Skills

Critical Skills

Azure cloud services expertise - Essential for platform implementation and optimization Data pipeline design and implementation - Core function for enterprise data solutions Modern data architecture patterns - Required for scalable solution design

Beneficial Skills

Machine learning operations knowledge - Growing importance in data engineering Container orchestration expertise - Increasing relevance for scalable solutions Data governance understanding - Rising priority for enterprise clients

Unique Aspects

Direct access to Microsoft's latest technologies and best practices
Exposure to enterprise-scale digital transformation projects
Strong focus on professional development and certification
Global delivery model with local market focus

Career Growth

2-3 years to senior level with strong performance and certification completion

Potential Next Roles

Senior Data Engineering Consultant Data Architecture Lead Cloud Platform Architect Technical Solution Architect

Company Overview

Avanade

Avanade is a leading provider of innovative digital and cloud services, business solutions, and design-led experiences through the Microsoft ecosystem

Global leader in Microsoft technology implementation with strong presence in enterprise digital transformation
Significant APAC presence with growing Australian operations
Professional services environment with emphasis on continuous learning and innovation
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