Data Engineer

Overview

At Aurecon we see the future through a very different lens. Do you? Innovation, eminence and digital are at the heart of everything we do. Are you excited about the future? Are you driven by the opportunity to work on some of the most challenging and complex projects around the world and to learn from the best? We are. Diversity is at the core of everything we do. We work together to create a culture based on respect, trust and inclusiveness. Our differences are what fuel our creativity.

Role

The Data Engineer role is responsible for designing, implementing, optimising, and managing the data infrastructure framework with an emphasis on security and reliability, and meet the needs of reporting solutions that drive decision-making and improve performance across the business. This role will contribute to the development of Aurecon's Data Engineering standards and patterns as well as Data Governance framework and standards.

Responsibilities

• Develop and maintain comprehensive data models and pipelines to enable accurate, timely reporting that supports decision-making and performance improvement across all business departments. This involves data profiling, cleansing, aggregation from multiple structured and unstructured sources, and pipeline development focused on analytical data assets.
  
• Ensure all data engineering activities align with enterprise-wide data architecture principles and governance frameworks, including data security, metadata management, data quality, and compliance with established standards, contributing to the ongoing development of Aurecon's data governance and engineering practices.
  
• Design, implement, optimize, and manage secure, reliable data infrastructure on Azure, employing CI/CD pipelines with proper controls and documentation, while collaborating closely with reporting analysts, data analysts, developers, and domain architects to support and evolve the Data & Analytics framework and Enterprise Data Lakehouse solution.
  
• Troubleshoot and resolve complex technical issues involving large datasets, participate in continuous improvement by triaging service requests and incidents related to data systems, and ensure all processes within the Data & Analytics team are followed consistently and professionally.
  

Qualifications

• 3-5 years' experience as a Data Engineer in Microsoft Azure Synapse Data Lakehouse environment
  
• CI/CD using DevOps or GitHub
  
• Performance optimization (data models, production orchestration and automation)
  
• Experience in Project delivery using Agile methodology
  

Good to have

• Shared Services/IT Consulting Services industry knowledge
  
• Working knowledge on Rest APIs
  
• Experience in data Lakehouse system design/architecture
  

Benefits

• Flexibility - 1x every fortnight reporting in the office
  
• Recognition - your impact matters
  
• Family - support for modern families and carers
  
• Community - give back through volunteering days
  
• Career development - learn, lead and shape your career
  

Closing

Our Aurecon Attributes describe the types of people we bring together for clients. We don't expect you to have all eight of the attributes, but one that is unique to you.

About us

We've re-imagined engineering. Aurecon is an engineering and infrastructure advisory company, but not as you know it For a start, our clients' ideas drive what we do. Drawing on our deep pool of expertise, we co-create innovative solutions with our clients to some of the world's most complex challenges. And through a range of unique creative processes and skills, we work to re-imagine, shape and design a better future. We listen deeply and intently, which helps us see opportunities, possibilities and potential that others can't. Think engineering. Think again.

Want to know more?

You can learn more about what it's like to work at Aurecon by visiting the careers section of our website. If you are intrigued or excited by what you have read, then we want to hear from you. Apply now

Employment type

• Full-time
  

Job function

• Information Technology and Engineering
  

Industries

• Information Services
  

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