Junior Data Engineer (Remote) - Australia

worknest • Australia
Remote
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AI Summary

We're seeking a motivated Junior Data Engineer to support the development, maintenance, and optimization of data pipelines and analytics infrastructure. This role involves building, maintaining, and optimizing ETL/ELT data pipelines, supporting data modeling, and collaborating with data engineers and analysts.

Key Highlights
Build, maintain, and optimize ETL/ELT data pipelines
Support data modeling and analytics infrastructure
Collaborate with data engineers and analysts
Technical Skills Required
Python Java SQL AWS Azure GCP ETL/ELT processes APIs data pipelines
Benefits & Perks
100% remote position within Australia
Hands-on training, mentorship, and opportunities to work with modern data technologies
Clear pathways to Data Engineer, Senior Data Engineer, or Analytics Engineer roles

Job Description


🤝 We’re Hiring: Junior Data Engineer

📍 Location: Australia (Remote)

đź•’ Employment Type: Full-Time

đź’Ľ Level: Entry-Level / Junior

We are seeking a motivated and detail-oriented Junior Data Engineer to support the development, maintenance, and optimization of our data pipelines and analytics infrastructure. In this fully remote role, you’ll work alongside experienced data engineers and analysts to help build reliable data systems that enable accurate reporting and data-driven decision-making across the organisation.

This is a fantastic opportunity for early-career professionals who are passionate about data, enjoy solving technical problems, and want hands-on experience with modern data tools and engineering practices.

🎯 Key Responsibilities
  • Assist in building, maintaining, and optimizing ETL/ELT data pipelines
  • Support the development of scalable data models and datasets for analytics
  • Help integrate data from various internal and external sources
  • Monitor data quality, troubleshoot issues, and ensure pipeline reliability
  • Collaborate with data engineers, analysts, and product teams on data projects
  • Contribute to documentation of data workflows, schemas, and processes
  • Work with cloud-based data services, databases, and automation tools
  • Support ad-hoc data requests and operational data tasks
âś… Requirements
  • Bachelor’s degree in Data Engineering, Computer Science, Information Systems, or a related field
  • Basic understanding of databases, SQL, and data modeling concepts
  • Experience with Python, Java, or similar languages (coursework or projects accepted)
  • Interest in cloud platforms (AWS, Azure, or GCP) and modern data tools
  • Familiarity with ETL/ELT processes, APIs, or data pipelines is a plus
  • Strong analytical and problem-solving skills
  • High attention to detail and commitment to data accuracy
  • Eagerness to learn, collaborate, and grow in a remote environment
  • Based in Australia with the legal right to work
🌟 What We Offer

🏡 100% remote position within Australia

📚 Hands-on training, mentorship, and opportunities to work with modern data technologies

🚀 Clear pathways to Data Engineer, Senior Data Engineer, or Analytics Engineer roles

đź’° Competitive salary with performance-based incentives

🌏 Supportive, collaborative, and people-first company culture


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