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

Requirements

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
Solid analytical, problem-solving, and troubleshooting skills

Requirements
Experience in Salesforce Vlocity platform using specifically Apex, LWC, Ominiscripts, Flexcards.

Integration procedure and DataRaptors.
Experience working with OOP, frameworks & design patterns.
Experience in building and working with integration (example REST APIs, Platform Events).
Platform Developer I, Platform Developer II, Ominstudio Developer certified.
Experience in Salesforce Sales Cloud, Service Cloud, Community Cloud, Health Cloud implementations.
Experience working with Source Control tools (e.g. GitLab) & package-based development

Required Skill Profession

Computer Occupations

📌 Data Engineer Canberra
🏢 Indigitise
📍 Canberra