Cloud Data Engineer at TAL Life Limited

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Sep, 26

Salary

0.0

Posted On

16 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Microsoft Fabric, Databricks, SQL, Python, Spark, ETL/ELT, Data Pipeline Design, Data Modeling, Data Governance, Data Quality, Orchestration, Cloud Data Engineering, Observability, Metadata Management, Lineage Capture

Industry

Insurance

Description

Company Description Join us in shaping the future of the insurance industry, driven by innovation and a 150-year legacy of protecting people Work with experienced and skilled colleagues who support and inspire one another to achieve collective success Access the tools and resources to acquire new skills, grow your capabilities, and take on new roles within a progressive, digitally enabled company Welcome to TAL. As a leading life insurer, we’ve been protecting Australians for over 150 years. Backed by Daiichi Life, we're driven by big ambitions and empower to create better products and services. Together with our Partners, we’re helping millions of Australians live a life filled with choices, options, and freedoms. See the direct impact you make delivering support and financial security with care and expertise. Grow beyond expectations with diverse roles, global connections, and exclusive learning opportunities. Work with passionate, bright and capable colleagues. Feel inspired by supportive leaders. Collaborate with heart, where flexibility, wellbeing and inclusivity is valued. Together, we're reimagining insurance. So, bring a curious mind and an ambition to help us become the progressive, digitally enabled leading insurer. Job Description The Data Engineer plays a key role in enabling TAL’s 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 TAL’s 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 TAL’s data standards and governance frameworks while contributing to key delivery outcomes. In 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 Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re 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.—we’re here to support you. You’re always accountable for your actions. You never give up. You strive to find the best outcomes for customers and partners. And you value working 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 everyone’s 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.

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Responsibilities

Design, build, and maintain robust batch and near real-time data pipelines to support reporting, analytics, and AI use cases. Collaborate with architects and stakeholders to translate business requirements into scalable, secure, and observable cloud data workflows.