Senior SQL Database Engineer- AI - Major BankNew

Bluefin Resources; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Major Bank is seeking a Senior SQL Database Engineer with AI experience to join its technology team. You will engineer, administer and optimise a large-scale SQL Server environment across on-premises and cloud infrastructure, while driving AI-enabled monitoring, analytics and automated remediation.

You will leverage AI-powered tooling and PowerShell automation to improve performance, availability and governance, contributing to capacity planning, cost management and disaster recovery across

Qualifications

• Extensive SQL Server database engineering and administration in large-scale enterprise environments.
• Experience applying AI/machine learning to database monitoring and analytics.

Responsibilities

• Engineer and optimise a large-scale SQL Server environment across on-premises and cloud infrastructure.
• Drive AI adoption within database operations to improve monitoring and predictive analytics.

Skills

SQL Server

AI experience

T-SQL

PowerShell

PBIRS

SSIS

SSAS

Power BI

Always On

Windows Failover Clustering

Tools

PowerShell

SSIS

SSAS

Power BI Report Server

Job description

A major bank is seeking Senior SQL Database Engineer with AI experience to join its established technology team and play a key role in managing, optimising and modernising a large-scale, business-critical SQL Server environment.
This is an exciting opportunity for a technically strong database engineer who combines deep SQL Server expertise with an interest in emerging AI technologies.
You will help drive the adoption of AI, automation and advanced analytics across database operations, using intelligent insights and predictive capabilities to improve platform performance, availability, resilience and operational efficiency.
Working across thousands of on-premises and cloud-based SQL Server instances, you will contribute to the evolution of enterprise database services while ensuring the highest standards of security, stability, governance and compliance.
Responsibilities

• Engineer, administer and optimise a large-scale SQL Server environment across on-premises and cloud infrastructure.
• Drive the adoption of AI and machine learning capabilities within database operations to improve monitoring, predictive analytics, incident detection and automated remediation.
• Leverage AI-powered tools and intelligent automation to identify performance trends, predict potential issues and improve database serviceability.
• Use data analytics and trending to support capacity planning, performance optimisation, cost management and operational risk reduction.
• Manage SQL Server performance, availability, scalability and resilience across complex enterprise environments.
• Design, implement and maintain high-availability and disaster recovery solutions, including Always On Availability Groups and Windows Server Failover Clustering.
• Develop and optimise T-SQL scripts, stored procedures and automation using PowerShell and other relevant technologies.
• Support database integration, reporting and analytics technologies, including SSIS, SSAS and Power BI Report Server (PBIRS).

Key Skills:

• Extensive experience in SQL Server database engineering, administration and performance tuning within large-scale enterprise environments.
• Applying AI and machine learning to database monitoring, performance optimisation and predictive analytics.
• Exploring AIOps capabilities and integrating AI-powered tooling into enterprise database management environments.
• Strong hands-on experience with Microsoft SQL Server 2016 or later.
• Deep technical knowledge of SQL Server architecture, indexing, query optimisation, performance monitoring and troubleshooting.
• Experience implementing automation, monitoring and analytics solutions to improve database operations.