Department:Design
Type:REMOTE
Region:Australia
Location:Australia
Experience:Entry level
Estimated Salary:A$80,000 - A$120,000
Skills:
PYTHONJAVASCALASQLSPARKHADOOPAWSAZUREGCPAIRFLOWKAFKADBTETLELTDATA PIPELINESDATA WAREHOUSINGDATA MODELINGDATA ARCHITECTURECI/CDDEVOPSREAL-TIME DATA STREAMINGDATA LAKELAKEHOUSE
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Job Description

Posted on: March 22, 2026

Data Engineer πŸ‡¦πŸ‡ΊπŸ“Š

πŸ“ Location: Australia 🌏

πŸ’Ό Employment Type: Full-time / Part-time ⏰

About the Role πŸš€βœ¨

We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure 🧩. You will play a critical role in enabling data-driven decision-making by ensuring reliable, high-quality data across the organization πŸ“ˆπŸ’‘.

Key Responsibilities πŸ› οΈπŸ“Œ

  • Design, develop, and maintain scalable data pipelines πŸš€πŸ”„
  • Build and optimize data architectures and data models πŸ—οΈπŸ“Š
  • Integrate data from multiple sources (APIs, databases, cloud platforms) πŸ”—πŸŒ
  • Ensure data quality, integrity, and security πŸ”πŸ“‹
  • Collaborate with data analysts, scientists, and stakeholders πŸ€πŸ‘¨β€πŸ’»
  • Monitor and troubleshoot data workflows and performance issues βš‘πŸ”
  • Implement ETL/ELT processes and automation tools πŸ› οΈβ±οΈ
  • Maintain documentation and data governance standards πŸ“πŸ“š

Required Skills & Experience πŸŽ―πŸ’‘

  • Degree in Computer Science, Data Engineering, or related field πŸŽ“
  • Experience in data engineering or similar role πŸ–₯️
  • Strong programming skills (Python, Java, or Scala) πŸ§‘β€πŸ’»
  • Experience with SQL and database systems πŸ—„οΈ
  • Familiarity with big data tools (e.g., Spark, Hadoop) βš™οΈ
  • Knowledge of cloud platforms (AWS, Azure, or GCP) ☁️
  • Understanding of data warehousing concepts πŸ’πŸ“Š
  • Strong analytical and problem-solving skills πŸ§ πŸ”§

Preferred Qualifications ⭐πŸ”₯

  • Experience with tools like Airflow, Kafka, or dbt πŸ”„πŸ“‘
  • Knowledge of CI/CD and DevOps practices βš™οΈπŸš€
  • Experience with real-time data streaming πŸ“‘βš‘
  • Familiarity with data lake and lakehouse architectures πŸŒŠπŸ—οΈ

What We Offer 🌟🎁

  • Competitive salary and benefits πŸ’°
  • Career growth and learning opportunities πŸ“ˆπŸ“š
  • Innovative and data-driven environment 🧠✨
  • Flexible working arrangements πŸ‘πŸ’Ό
Originally posted on LinkedIn

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