Tech Lead at UniSuper

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Technical Leadership, Solution Design, Azure Data Platforms, Azure Databricks, Spark Engineering, ADF, Data Lakes, ADLS Gen2, Delta Lake, MLOps, CI/CD, IaC, Automated Testing, Data Modelling, Microsoft SQL Server

Industry

Financial Services

Description

About the Opportunity We’re all here to deliver great retirement outcomes for our members and our Technology teams play a critical role in enabling that mission. In Delivery and Information, we sustain the health of UniSuper’s core systems and platforms, partnering with the business to drive simplification, scale and delivery of the enterprise portfolio aligned to UniSuper’s strategy. This is a great opportunity for a strong, hands-on data engineering leader to step into a technical lead role that shapes how we design, build and operate modern data platforms and integration solutions while living our values of genuine care, being better together and a passion for outcomes. The Delivery and Information team ensures the sustained health and maintenance of UniSuper’s core systems and platforms, delivering high availability, stability and performance. We partner with business units to provide business-driven scale and simplification, and to deliver the enterprise portfolio and technologies that enable UniSuper’s strategy The Role As Technical Lead – Data Engineering, you are accountable for providing hands-on technical leadership for a team of data engineers while remaining deeply engaged in solution design and delivery. You will guide the development, operation and continuous improvement of UniSuper’s data platforms and integration solutions, ensuring they are robust, scalable and aligned with enterprise architecture and business outcomes. You will be accountable for: Providing technical leadership and day-to-day guidance to data engineers, building strong engineering practices and continuous learning Translating business requirements and solution architecture into high-quality technical designs and implementations Owning solution integrity (performance, reliability, supportability) across the full lifecycle Contributing to platform evolution with focus on efficiency, reuse, scalability and security Driving consistent engineering standards, CI/CD adoption and delivery improvements Partnering across application, platform and integration teams for cohesive end-to-end outcomes What You’ll Do Lead the design, development, testing and deployment of data solutions across Microsoft SQL Server and Azure Be the technical escalation point for complex engineering tasks and production incidents Ensure solutions meet NFRs (performance, availability, security and supportability) Review designs and code for standards, quality and maintainability Mentor and coach engineers across varying experience levels; uplift capability in modern tools and practices Drive robust root cause analysis and deliver sustainable fixes to production data issues Improve engineering discipline: documentation, testing, operational readiness and change management compliance Embed cost-aware design, guiding cost optimisation and financial efficiency Evolve CI/CD pipelines, automation and DevOps practices Provide pragmatic data modelling guidance (fit-for-purpose, aligned to reporting/analytics needs) Improve non-production testing/environment strategies (automated refresh/validation/data quality checks aligned to production changes) Challenge ways of working to improve reliability, delivery speed and member outcomes About You You are a hands-on technical leader who can set direction and uplift standards, while partnering effectively with stakeholders across Technology and the business. You can explain complex data and cloud concepts in a clear, practical way and build strong relationships across teams. What you’ll bring: Strong hands-on experience designing, building and operating modern Azure data platforms Proven experience with Azure Databricks (Spark engineering, notebooks, performance optimisation, production support) Experience building scalable batch/streaming pipelines using cloud-native patterns (Databricks, ADF, event-based ingestion) Strong Azure fundamentals: networking, identity, security, resource management and cost optimisation Experience with cloud data lakes (e.g., ADLS Gen2) and open formats such as Delta Lake Exposure to MLOps / ML engineering practices on Azure Agile/DevOps experience including CI/CD, IaC and automated testing A coaching mindset and a focus on pragmatic delivery and operational excellence Why UniSuper We offer a range of benefits to support your mental, physical and financial wellbeing, including: 3 days over Christmas and 3 days ‘Community and Culture’ leave The opportunity to choose between 17% and 12% superannuation $1,500 personal development budget Exceptional parental leave At UniSuper, we value and celebrate diversity and inclusion in our workplace, where everyone can thrive. We believe that having a variety of perspectives, backgrounds, interests, abilities, and skills is crucial for delivering great retirement outcomes to our members. We encourage you to apply even if you don’t meet all the requirements listed.

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Responsibilities

The Technical Lead is accountable for providing hands-on technical leadership to data engineers, guiding the development, operation, and continuous improvement of robust and scalable data platforms and integration solutions. This includes owning solution integrity, driving engineering standards, and leading the design, development, testing, and deployment of data solutions primarily across Microsoft SQL Server and Azure.