Are you looking for an awesome place to work, where you can proudly be your authentic self, and be part of #oneteam?

We are looking for a passionate team player who aligns with our values and culture, takes pride in their unique contributions, and can challenge the status quo with disruptive thinking. If this sounds like you, come and join us!

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)
- Solid 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.

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📌 Data Platform Engineer (New South Wales)
🏢 Vocus Navy
📍 New South Wales