Summary
As a Data Engineer at Avanade, you'll design and build scalable data pipelines and ETL/ELT solutions. You'll work closely with architects and analysts to deliver secure, high‐quality data across batch and near‐real‐time use cases, while continuously improving performance and reliability.
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
Qualifications
Skills and Experience
* Strong 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
* Australian citizenship is required, and candidates must be eligible to obtain security clearance. (Existing security clearance is preferred but not mandatory)
* This position is based onsite in Parramatta on a full-time basis.
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