We are looking for a Mid-Level Data Engineer to join our Data Engineering team. This is a fantastic opportunity to work with cloud technologies, contribute to building scalable data pipelines, and collaborate with both technical teams and senior stakeholders. Key Responsibilities: Developing, deploying, and maintaining data pipelines and ETL processes on Google Cloud Platform (GCP) using Cloud Composer (Apache Airflow) and dbt with Python. Support CI/CD pipelines (Buildkite preferred) to ensure reliable and automated code deployment. Manage Git repositories, including pull requests, and link changes to Jira service requests. Contribute to Slowly Changing Dimension (SCD) Type 2 processes for historical data updates. Schedule and orchestrate workloads to optimize performance, scalability, and reliability. Follow data governance and security best practices to ensure compliance and data integrity. Collaborate with analysts and data scientists to enable access to structured and unstructured data. Document changes clearly in Atlassian Confluence and present deployment updates to CAB when required. Required Experience & Skills: 2 –3 years of experience in data engineering, ETL and cloud-based data platforms. Knowledge and experience with GCP services such as Cloud Composer, BigQuery, and Pub/Sub will be an added advantage. Familiarity with dbt using Python to build ETL models and logical tests. Understanding of CI/CD processes, preferably using Buildkite or similar tools. Experience managing Git repositories and working with Jira for tracking changes. Knowledge of SCD Type 2 and basic data modeling concepts. Exposure to orchestration and scheduling tools (Apache Airflow preferred). Familiarity with other cloud platforms (AWS, Azure DevOps) is acceptable if you can apply similar concepts. Soft Skills: Comfortable communicating with senior leaders. Able to explain technical approaches to non-technical stakeholders. Confident summarising changes for documentation and deployment purposes. Comfortable presenting technical changes to CAB. About INGRITY: We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.