
Senior Data Engineer
- Ruse, NSW
- Permanent
- Full-time
- Develop the architecture for the data pipelines and implement it using Python
- Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines
- Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives
- Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.)
- Work closely with technical leads, PM, BA, testing and reporting team on data requirements
- Contribute to agile ceremonies, size tasks and deliverables.
- 5+ years of experience designing and developing data pipelines and managing data infrastructure
- Proficiency in Python (pandas, PySpark)
- Background and experience with tools and technologies like Databricks, Data Lake Storage, Snowflake, Synapse, Redshift, Apache Spark, Kimball Data Mart, Azure Key Vault
- Experience with various Azure services for data processing and storage, data integration and analytics with Azure Synapse Workspaces
- Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes
- Knowledge of one or more RDBMS (SQL Server, Oracle, DB2)
- Experience with reporting and dashboard creation with Power BI and similar tools will be a plus
- Open to working in an agile environment as part of a scrum team
- Advanced English speaking and writing abilities are required.
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.