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. 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. .