We are looking for a Data Integration Engineer to design and build robust data pipelines, ETL processes, and API integrations for our enterprise clients.
You will connect disparate systems, unify data from multiple sources, and build the data foundations that power analytics and AI initiatives.
What You'll Do
Design, build, and maintain ETL/ELT pipelines using dbt, Apache Airflow, and Azure Data Factory
Develop RESTful and GraphQL API integrations connecting SaaS platforms and enterprise systems
Implement real-time data streaming solutions using Apache Kafka and Azure Event Hubs
Load and model data into cloud data warehouses - Snowflake, Azure Synapse, and BigQuery
Implement data quality frameworks - validation, cleansing, anomaly detection, and lineage tracking
Collaborate with data analytics and AI teams to deliver integrated data solutions
Document integration architectures, data mappings, and pipeline specifications
What You'll Bring
3+ years of experience in data engineering or integration




Strong SQL skills and experience with cloud data warehouses (Snowflake, BigQuery, or Azure Synapse)
Hands-on experience with ETL tools - dbt, Fivetran, Talend, or Azure Data Factory
Experience with API development and integration (REST, GraphQL, webhooks)
Proficiency in Python for data transformation and pipeline development
Understanding of data modelling concepts and dimensional modelling
Experience with workflow orchestration tools - Apache Airflow or Prefect
Nice to Have
Experience with real-time streaming - Apache Kafka or Azure Event Hubs
Knowledge of data governance and data quality frameworks
Experience with MuleSoft or other iPaaS platforms
Snowflake or dbt certifications
What We Offer
Flexible and hybrid working options
Learning and certification budget
Market-competitive salary package
Collaborative team environment
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📌 Data Integration Engineer (Sydney)
🏢 Data Intence Technology Pty
📍 Sydney