📊 Data Engineer – Job Description
📍
Location:
Australia
🕒
Employment Type:
Full-time / Part-time
🌟 About the Role
We are seeking a skilled
Data Engineer
to join our team in Australia. In this role, you will design, build, and maintain data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives 📈✨.
You will collaborate with data analysts, data scientists, and IT teams to ensure reliable, scalable, and high-quality data systems 🚀.
💼 Key Responsibilities
🛠️ Design and develop scalable data pipelines (ETL/ELT processes)
📊 Build and maintain data warehouses and data models
🔗 Integrate data from multiple sources into central systems
☁️ Support cloud-based data infrastructure
⚙️ Optimise data workflows for performance and efficiency
🔍 Monitor data quality and troubleshoot data issues
📝 Document data architecture, processes, and technical solutions
🎯 Key Requirements
🎓 Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
💼 2+ years of experience in data engineering or related technical roles
💻 Strong proficiency in SQL and programming languages such as Python
☁️ Experience with cloud platforms (AWS, Azure, or Google Cloud)
📊 Knowledge of data warehousing and database systems
🧠 Strong analytical and problem-solving skills
🤝 Ability to work effectively in cross-functional teams
⭐ Preferred Qualifications
📌 Experience with big data tools (e.g., Spark, Kafka, Hadoop)
📌 Familiarity with data pipeline orchestration tools (e.g., Airflow)
📌 Understanding of data governance and best practices
🎁 What We Offer
💰 Competitive salary package
🏡 Flexible working arrangements
📚 Professional development and technical training opportunities
🌏 Innovative and collaborative work environment 🚀