Data Bricks - Data Engineer
Pyramid Global TechnologiesMelbourne, Victoria, Australia
Posted January 5, 2026
Full Time
About the Company
Pyramid Global Technologies is a leading Australian Managed IT Service Provider that delivers end‑to‑end solutions—ranging from infrastructure and database management to cloud, ERP and unified communications—to both private and public‑sector clients across diverse industries. Leveraging a technology‑agnostic portfolio, a global talent pool and an extensive partner network, the company empowers organizations to accelerate digital transformation and stay resilient amid rapid change. Its proactive, remote‑management model ensures continuous performance, security, and compliance for enterprise IT environments. The firm’s global delivery platform enables seamless planning, deployment, and operations of complex solutions, while its commitment to innovation keeps clients ahead of evolving technology trends. Pyramid Global’s culture of collaboration, expertise, and customer‑centric service positions it as a trusted partner for businesses seeking reliable, future‑ready IT capabilities.
Job Description
Job Description of Data Bricks - Data Engineer in Melbourne: Tech Stack Required: Experience in Data Lake, Azure Data Bricks, designing and deploying Databricks platforms, building and deploying data engineering pipelines, guiding clients on big data projects, and experience in Big Data Technologies.
Requirements
- 6-10 years of experience
- Experience in Data Lake, Azure Data Bricks
- Experience designing and deploying Databricks platforms for any of AWS, Azure or Google Cloud
- Experience building and deploying data engineering pipelines into production, including using automation best practices for CI/CD
- Guiding clients as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
- Experience in working in Scrum Agile Technical
- Streamlining the customer machine learning lifecycle and integrating it with the rest of the data platform
- Experience in Big Data Technologies