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Full timeTechnology

Data Integration Engineer

Data Intence Technology PtySydney, Sydney🇦🇺Australia

Why this role stands out

This hybrid role offers significant growth potential as you build critical data foundations for enterprise clients, leveraging modern tools and cloud data warehouses. You'll thrive here if you have a passion for connecting disparate systems and a strong background in SQL, Python, and ETL/API development. Apply today to join a dynamic team and advance your skills with a generous learning budget.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, Sydney, Australia
SQLETLSnowflakeAirflowApacheAzureBigQueryGraphQLKafkaPythonRESTdbt

Job description

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

Competitive salary package

Collaborative team environment

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