📊 Data Engineer – Job Description
📍
Location:
Australia
🕒
Employment Type:
Full-time / Part-time
🌟 About the Role
We are seeking an experienced and analytical
Data Engineer
to join our team in Australia. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and business intelligence initiatives 📈✨.
You will work closely with data analysts, data scientists, and IT teams to ensure reliable, high-quality data systems that drive business decisions 🚀.
💼 Key Responsibilities
🛠️ Design and develop efficient ETL/ELT data pipelines
📊 Build and maintain data warehouses and data models
🔗 Integrate data from multiple internal and external sources
☁️ Manage cloud-based data infrastructure and services
⚙️ Optimise data systems for performance, scalability, and reliability
🔍 Monitor data quality and troubleshoot data issues
📝 Document data architecture, workflows, and technical solutions
🤝 Collaborate with cross-functional teams to support data needs
🎯 Key Requirements
🎓 Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
💼 2+ years of experience in data engineering or similar 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 a collaborative environment
⭐ Preferred Qualifications
📌 Experience with big data technologies (e.g., Spark, Kafka, Hadoop)
📌 Familiarity with data pipeline orchestration tools (e.g., Airflow)
📌 Experience with infrastructure automation tools (e.g., Terraform)
🎁 What We Offer
💰 Competitive salary package
🏡 Flexible working arrangements
📚 Professional development opportunities
🌏 Innovative and data-driven work environment 🚀