Junior Data Engineer

Remote
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AI Summary

We are seeking a motivated and detail-oriented Junior Data Engineer to build and maintain scalable data pipelines, tools, and infrastructure. This junior-level role is perfect for early-career candidates who enjoy working with data, automating processes, and supporting analytics teams. Key requirements include experience or education in data engineering, proficiency in Python, SQL, or similar scripting languages, and knowledge of databases, APIs, or data warehousing concepts.

Key Highlights
Junior-level data engineering role
Building and maintaining scalable data pipelines and tools
Collaborating with analytics teams and data scientists
Supporting data requirements and performance tuning
Automation of repetitive data processes
Key Responsibilities
Assist in building, maintaining, and optimizing data pipelines and ETL/ELT workflows
Work with structured and unstructured data to ensure availability, quality, and reliability
Support integration of data from multiple sources into data warehouses or lake environments
Contribute to the development of data models, schemas, and metadata documentation
Collaborate with data analysts, data scientists, and engineering teams on data requirements
Monitor data pipelines, troubleshoot issues, and support performance tuning
Technical Skills Required
Python SQL Data engineering ETL/ELT concepts Data pipeline fundamentals Cloud platforms (AWS, Azure, GCP) Databases APIs Data warehousing concepts
Benefits & Perks
Fully remote role within Australia
Competitive compensation and benefits package
Clear development path towards Data Engineer, Senior Data Engineer, or Analytics Engineer

Job Description


🛠️ We’re Hiring: Junior Data Engineer

📍 Remote (Australia)

🕒 Full-Time

💼 Level: Junior Data Engineer

We’re looking for a motivated and detail-oriented Junior Data Engineer to help build and maintain scalable data pipelines, tools, and infrastructure. This role is perfect for early-career candidates who enjoy working with data, automating processes, and supporting analytics teams in a collaborative, remote-first environment.

🎯 Key Responsibilities
  • Assist in building, maintaining, and optimizing data pipelines and ETL/ELT workflows
  • Work with structured and unstructured data to ensure availability, quality, and reliability
  • Support integration of data from multiple sources into data warehouses or lake environments
  • Contribute to the development of data models, schemas, and metadata documentation
  • Collaborate with data analysts, data scientists, and engineering teams on data requirements
  • Monitor data pipelines, troubleshoot issues, and support performance tuning
  • Help automate repetitive data processes using scripts or workflow tools
  • Document processes, data flows, and operational procedures
RequirementsJunior Level (0–2+ years)
  • Experience or education in data engineering, computer science, information systems, or related fields
  • Basic proficiency in Python, SQL, or similar scripting languages
  • Understanding of ETL/ELT concepts and data pipeline fundamentals
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus
  • Knowledge of databases, APIs, or data warehousing concepts
  • Strong analytical and debugging skills
General Requirements
  • Strong attention to detail and commitment to data accuracy
  • Ability to learn quickly and work independently in a remote-first environment
  • Effective communication skills in technical and cross-functional settings
  • Fluent in English
  • Based in Australia with the legal right to work full-time
🌟 What We Offer
  • Fully remote role within Australia
  • Hands-on exposure to modern data stacks and engineering workflows
  • Clear development path toward Data Engineer, Senior Data Engineer, or Analytics Engineer
  • A collaborative, supportive, and growth-focused team environment
  • Opportunities to work on real-world data infrastructure projects
  • Competitive compensation and benefits package


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