Sydney, Australia | Posted on 20/08/2026

- Assigned Recruiter(s) Sri Ram Harsha Pillutla
- Initial Contract Duration 12 months
- Job Opening Status Open
- Location NSW
- Security Clearance NV1
- City Sydney
- Country Australia
- Postal Code 1001

Job Description

Key Responsibilities

- Design, build, and maintain scalable data pipelines and data integration solutions
- Develop and optimise ETL/ELT processes to ingest, transform, and store data from multiple sources
- Work closely with data architects, analysts, and downstream consumers to deliver reliable data solutions
- Implement data processing solutions across batch and near-real-time use cases
- Ensure data quality, reliability, and performance across data platforms
- Support cloud-based data platforms, data lakes, and data warehouses
- Apply data security, privacy, and access control requirements across data solutions
- Troubleshoot and resolve data pipeline failures and performance issues




- Contribute to automation, monitoring, and continuous improvement of data engineering practices

Required Skills & Qualifications

- 5+ years’ experience in Data Engineering or data-focused engineering roles
- Solid experience with ETL/ELT development and data pipeline orchestration
- Solid proficiency in SQL and experience with relational and NoSQL data stores
- Experience with cloud data platforms (e.g. Azure Data Factory, Databricks, Synapse or equivalent)
- Experience working with structured and semi-structured data
- Familiarity with data modelling concepts and performance optimisation techniques
- Experience with CI/CD pipelines and DevOps practices for data solutions
Strong analytical, problem-solving, and troubleshooting skills

#J-18808-Ljbffr

📌 Database Engineer (New South Wales)
🏢 Indigitise
📍 New South Wales