Data Engineer

Indigitise Pty Ltd; Canberra; On-site; AUD 110,000 - 160,000; Full time

Job summary

Indigitise Pty Ltd in Canberra, ACT is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and data integration solutions.

You will optimise ETL/ELT processes, work with data architects and analysts, and ensure data quality and performance across cloud platforms such as Azure data services. The role emphasizes automation, CI/CD for data solutions, and reliable data delivery.

Qualifications

• 5+ years’ experience in Data Engineering or data-focused engineering roles.
• Strong 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.

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

Skills

Data pipelines

ETL/ELT

SQL

Cloud platforms

Structured data

Data modeling

CI/CD

DevOps for data

Analytical skills

Job description

Canberra, Australia | Posted on 28/07/2026

• 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

Requirements

Required Skills & Qualifications

• 5+ years’ experience in Data Engineering or data-focused engineering roles
• Strong 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