Jobs · empllo
Senior Data Engineer
Keystone AI · Melbourne · Posted 27d ago
Available in 3 locations
Melbourne · onsite Apply → Melbourne, VIC, Australia · onsite Apply → Remote · remote Apply →About the role
Design and implement distributed data pipelines and ensure data governance and security best practices.
📋 Description Design distributed data pipelines on Databricks (bronze/silver/gold) Build multi-tenant data infra with isolation across cloud regions Design graph-based data structures; graph DBs integrated with Databricks Own security and governance: RBAC, PII masking, data residency, compliance monitoring Establish data engineering best practices: testing, CI/CD, observability, incident response Mentor junior engineers and communicate decisions to stakeholders 🎯 Requirements 7+ years as a data engineer; 2+ years in senior/staff role Deep expertise with cloud data warehouses; Databricks preferred Proficiency with ELT/ETL tools (Fivetran or similar) and dbt Strong SQL and query optimization; dimensional modeling knowledge Experience implementing row-level security and RBAC; GDPR/CCPA/HIPAA knowledge IaC experience: Terraform or equivalent 🎁 Benefits Global experience across USA, Australia, New Zealand, UK, Canada and the Philippines 4 weeks annual leave plus 5 Keystone AI Days off Flexible working environment Work with an experienced, high-performing team Fast-growing company that promotes high performers from within Generous parental leave
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FAQ
Is the Senior Data Engineer role at Keystone AI remote?+
This Senior Data Engineer position is listed as onsite (Melbourne).
What is the salary for the Senior Data Engineer role at Keystone AI?+
The listing states Estimated 118k-227k USD.
What seniority level is this Senior Data Engineer role?+
This is a senior level position.
How do I apply for the Senior Data Engineer role at Keystone AI?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Keystone AI.