Cloud Data Engineer

The Data Engineer plays a key role in enabling TALs data-driven capabilities by designing building and maintaining robust data pipelines and curated data assets that support reporting analytics operational insights and AI use cases. This role spans the full data lifecycle from ingestion and transformation through to orchestration and data delivery ensuring data is reliable scalable and accessible for business needs. Leveraging modern engineering practices automation and cloud-native technologies the Data Engineer enhances data quality performance resilience and reusability across TALs evolving data platform.

Working in close collaboration with architects platform and analytics teams product owners and business stakeholders the Data Engineer translates business requirements into practical high-quality engineering solutions. The role ensures alignment with TALs data standards and governance frameworks while contributing to key delivery doing so it also supports continuous improvement and uplift of engineering practices across the broader data ecosystem.

In this role you will:

• Design build and maintain robust batch and near real-time data pipelines that ingest transform and publish data for reporting analytics operational and AI-enabled use cases
• Build and maintain data transformations that prepare trusted well-structured and reusable datasets for downstream consumption
• Use modern cloud data tooling across Azure Microsoft Fabric Databricks and related services to implement secure scalable and observable data workflows.
• Embed data quality checks validation logic lineage capture and operational controls into pipelines and datasets
• Collaborate closely with architects platform engineers analysts product owners and business stakeholders to shape practical and reusable solutions

Qualifications :

• Relevant tertiary qualification in information technology computer science software engineering data engineering or a related discipline
• Relevant certifications in Azure Microsoft Fabric Databricks or related data engineering technologies are desirable
• Strong understanding of data engineering fundamentals including ETL and ELT data transformation pipeline orchestration data quality and data serving patterns.
• Hands-on knowledge of Azure data services Microsoft Fabric Databricks or similar modern cloud data platforms.
• Proficiency in SQL and experience with Python Spark or other relevant data engineering languages and frameworks.
• Knowledge of data modelling metadata lineage observability monitoring and troubleshooting practices relevant to production-grade data solutions.
• Understanding of privacy security governance and risk controls relevant to enterprise data engineering

Additional Information :

TAL is one of Australias leading life insurers committed to inclusion and supporting the career growth of our diverse workforce. Were proud to be:  

• An Inclusive Employer Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency from 2014 to 2025 and 2023 to 2026 Bronze Tier Status within the Australian Workplace Equality Index  
• Diversity Champions Member of Diversity Council Australia Australian Disability Network Pride in Diversity and Champions of Change  
• Reconciliation Advocates Read our Innovate Reconciliation Action Plan. 
• We welcome applications from people with diverse experiences perspectives and backgrounds including Aboriginal and Torres Strait Islander people caregivers individuals with disability/ies people from culturally diverse backgrounds and the LGBTQ community.  
• Need adjustments during the recruitment process Let our team know by getting in touch with us  here to support you. 

Yourealwaysaccountable for your actions. You never give up. You strive to find the best outcomes for customers and valueworking together to find the best solutions for problems.  

As part of the recruitment process there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History Bankruptcy Entitlement to Work Regulatory and Reference Checks.  

#LI-Hybrid 

Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyones responsibility.

If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.

Remote Work :

No

Employment Type :

Full-time