? We’re Hiring: Data Engineer

? Position: Data Engineer

? Employment Type: Full time

? About the Role

We’re looking for a hands-on and analytical Data Engineer to build dependable data infrastructure and turn complex datasets into scalable solutions. You’ll work across data pipelines, storage systems, and processing workflows to make sure high-quality data is available when and where it’s needed.

⚙️ Key Responsibilities

- Design, develop, and maintain reliable ETL/ELT data pipelines.
- Build data ingestion workflows from databases, APIs, applications, and external sources.
- Transform and prepare raw data for analytics, reporting, and business applications.
- Develop and optimize data models, schemas, and warehouse structures.
- Monitor pipeline health, data quality, and processing performance.
- Investigate data issues and implement reliable solutions.
- Optimize SQL queries and data processing workflows.
- Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
- Implement automated validation and data quality checks.
- Maintain documentation for datasets, pipelines, and data architecture.
- Contribute to automation, scalability, and continuous improvement of data systems.

?️ What We’re Looking For

- Strong understanding of SQL,



databases, and data processing concepts.
- Proficiency in Python, Java, Scala, or another programming language.
- Experience with ETL/ELT concepts and data integration workflows.
- Familiarity with relational and NoSQL databases.
- Understanding of data warehouses and modern data architectures.
- Familiarity with tools such as Airflow, Spark, dbt, Kafka, or similar technologies is a plus.
- Knowledge of AWS, Azure, or Google Cloud is beneficial.
- Strong debugging, analytical, and problem-solving skills.
- Excellent attention to data accuracy, reliability, and performance.
- Ability to collaborate effectively across technical and business teams.

✨ What We Offer

- ☁️ Work with contemporary cloud and data infrastructure technologies.
- ? Continuous technical learning and development opportunities.
- ?️ Hands-on experience building production-grade data platforms.
- ? Exposure to large-scale data processing and distributed systems.
- ? Collaborative environment with strong engineering knowledge sharing.
- ? Opportunities to contribute to data architecture and technical decisions.
- ? Competitive compensation and comprehensive benefits package.

📌 Data Enginee (Australia)
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📍 Australia