🗄️ We’re Hiring: Data Engineer
📍 Location:
Remote (Australia)
🕒 Employment Type:
Full-Time
💼 Level:
Mid-Level
We’re looking for a skilled and data-driven
Data Engineer
to design, build, and maintain scalable data infrastructure and pipelines. This role is ideal for someone who enjoys working with modern data stacks and enabling analytics, reporting, and data science in a remote-first environment.
🎯 Key Responsibilities
Design, build, and maintain scalable data pipelines (ETL/ELT).
Integrate data from multiple internal and external sources.
Develop and optimize data models for analytics and reporting.
Ensure data quality, reliability, and performance.
Collaborate with data scientists, analysts, and software engineers.
Monitor, troubleshoot, and optimize data workflows.
Implement data governance, security, and best practices.
Maintain documentation for data architecture and processes.
✅ Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
3+ years of experience in data engineering or related roles.
Strong proficiency in SQL and experience with Python, Java, or Scala.
Experience with data warehouses (Snowflake, BigQuery, Redshift, etc.).
Familiarity with ETL and orchestration tools (Airflow, dbt, etc.).
Experience with cloud platforms (AWS, Azure, or GCP).
Understanding of data modeling, performance tuning, and data governance.
Experience with Git and CI/CD workflows.
Strong problem-solving and communication skills.
Ability to work independently in a remote environment.
Fluent in English.
Based in Australia with the legal right to work full-time.
🌟 What We Offer
Competitive salary and benefits package.
Fully remote role within Australia.
Opportunity to work with modern data engineering technologies.
Collaborative and data-focused team culture.
Professional development and career growth opportunities.