Posted 06 August, 2026
Data Platform Engineer
vocus
40 Miller St, North Sydney NSW 2060, Australia
Full Time
Reference: 487_674165_6262
We are seeking a skilled and proactive Data Engineer to join Vocus Data Platform team and contribute to the development, execution and maintenance of our end-to-end data pipelines.
In this role, you will collaborate with stakeholders and senior team members to implement scalable architectures across AWS and Databricks. You will focus on building robust ETL/ELT process, optimising existing pipelines and ensuring reliable data delivery across the organisation.
Key Responsibilities
- Designing, building and supporting enterprise-scale data platforms and data integration solutions in Databricks
- Advanced SQL development skills and strong proficiency in Python, PySpark, and modern data engineering frameworks
- Designing and implementing reusable, metadata-driven ingestion frameworks, as well as establishing engineering standards, reusable patterns, and platform accelerators
- Working with cloud-based data platforms including AWS and Databricks, with hands-on experience in technologies such as Redshift, Databricks, Delta Lake, S3, Glue, Lambda, and MWAA
- Dimensional modelling, data warehousing concepts, and supporting analytical data structures (such as Medallion architecture)
- Designing and implementing data quality frameworks, automated validation controls, and data observability practice
- Develop and maintain reliable batch, near real-time, and real-time ingestion pipelines leveraging metadata-driven frameworks in Databricks
- Manage workflow orchestration using AWS Airflow (MWAA), implement efficient serverless AWS Lambda and Job pipelines in Databricks.
Skills & Experience
- 5+ years of hands-on Data Engineering (Databricks Preferred)
- Strong core experience with AWS Services
- Solid hands-on experience in building job pipelines, streaming, and managing cluster configurations within the Databricks ecosystem
- Strong production-grade Python and PySpark skills
- Advanced SQL for complex querying, data manipulation, and expertise in modern data warehouse/lakehouse data modelling techniques
- Good knowledge and practical experience with CI/CD pipelines and infrastructure-as-code using Terraform.