At a Glance
- Tasks: Design and build data pipelines, ETL processes, and API integrations for enterprise clients.
- Company: Join a forward-thinking company focused on data integration and analytics.
- Benefits: Flexible working options, learning budget, and competitive salary package.
- Other info: Collaborative team environment with opportunities for growth and certification.
- Why this job: Make an impact by unifying data and powering analytics and AI initiatives.
- Qualifications: 3+ years in data engineering, strong SQL skills, and experience with cloud data warehouses.
The predicted salary is between 121500 - 148500 $ per year.
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
Data Integration Engineer in Sydney employer: Data Intence Technology Pty
As a Data Integration Engineer with us, you'll thrive in a collaborative team environment that values innovation and flexibility. We offer competitive salaries, a learning and certification budget to support your professional growth, and the opportunity to work in a hybrid setting that promotes work-life balance. Join us to build robust data solutions that empower analytics and AI initiatives for our enterprise clients, all while enjoying a supportive culture that prioritises employee development.
Contact Details:
Data Intence Technology Pty Recruitment Team
