Data Engineer

🗃️ We’re Hiring: Data Engineer

📍 Location: Remote (Australia)

🕒 Employment Type: Full-Time

💼 Level: Mid-Level (Open to Junior–Mid profiles)

We’re looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics and business decision-making. This role is ideal for professionals who enjoy working with data pipelines, cloud platforms, and cross-functional teams in a remote-first environment.

🎯 Key Responsibilities

Design, build, and maintain reliable, scalable data pipelines and ETL/ELT workflows.

Develop and optimize data models for analytics and reporting use cases.

Integrate data from multiple internal and external sources.

Ensure data quality, consistency, and reliability across systems.

Monitor, troubleshoot, and optimize data pipelines for performance and cost.

Collaborate with data analysts, data scientists, and product teams.

Maintain documentation for data architecture, pipelines, and best practices.

✅ Requirements

2+ years of experience in data engineering or a related role.

Strong SQL skills and proficiency in at least one programming language (Python preferred).

Experience with data warehouses (e.g., BigQuery, Snowflake, Redshift).

Familiarity with cloud platforms (AWS, GCP, or Azure).

Understanding of ETL/ELT tools, orchestration frameworks, or data pipelines.

Strong problem-solving skills and attention to detail.

Ability to work independently in a fully remote environment.

Fluent in English.

Based in Australia with legal right to work full-time.

🌟 What We Offer

Fully remote role within Australia.

Opportunity to work with modern data engineering technologies.

Supportive, collaborative, and remote-first team culture.

Professional growth and learning opportunities.

Competitive salary and benefits package.