Data Engineering Technical Lead

Job Description

Add expected salary to your profile for insights Opportunity to work with the 5th largest General Insurer in Australia Open for Sydney, Melbourne and Brisbane candidates - Remote/ Hybrid work flexibility Great opportunity to work with multi-disciplinary technology team to accelerate your career. About Hollard Hollard Insurance is part of the Hollard Group of Companies and a top 5 General Insurer in Australia and New Zealand. We underwrite a broad range of general insurance products, including motor, home, contents, business, and pet. Hollard’s unrelenting focus on diversity and inclusion, collaborative partnerships, and delivering great customer outcomes is at the heart of its business model. Your Team You will be part of a multi-disciplinary technology team, working closely with our customers (business, software vendors, and partners) and strategic project teams. The team is responsible for the development, implementation, and maintenance of the Hollard Data Platform that supports our customers through all aspects of the insurance value chain. Your Role As Data Engineering Technical Lead, you will work in the Data team and actively collaborate in our data journey, leading the data engineering direction for the delivery of our Azure Data Platform. You will provide leadership and technical direction within the data engineering team and apply your knowledge, define and enforce enterprise data engineering standards, principles, and patterns across implementation to deliver target state design and implementation. Your duties and responsibilities Reporting to the Head of Data Management the key focus areas will be: Lead the strategic and technical development of Hollard’s Data Platform(s). Provide oversight for the overall Azure data platform architecture design, data modelling, gathering and analysis of data requirements. Promote, maintain, and drive adherence to “best practices” and coding standards for the team. Lead the translation of data architecture design and logical data models into physical design to build reusable components, frameworks, and libraries. Lead internal and external engineering teams to build products and/or infrastructure required to support scalable data products. Accountable for the delivery of robust data pipelines and data transformations across the data platform. Your knowledge and experience Extensive experience in design, build and support of data engineering pipelines in the data warehousing, BI analytics, and/or ML space . Strong software engineering, SQL, and coding skills in data intensive environments. Experience working in DevOps and Agile environments. A comprehensive understanding of data warehousing and data transformation processes. Strong knowledge and hands-on experience in implementing modern lake house architecture on Azure Data Lake Gen2 and Apache Spark using PySpark . Related certifications are preferable (e.g., Azure Data Fundamentals, Azure Data Engineer Associate). Working at Hollard At Hollard you will be part of a supportive, valued, and committed team. You will enjoy a challenging and rewarding work environment, career progression opportunities, and great staff benefits and corporate discounts. Professional and technical development opportunities Flexible start and finish times, work from home, and other flexible work options Paid parental and partner leave Additional leave options, including 5 well-being days each year Novated lease options Corporate employee discounts from various retailers Wellbeing benefits e.g., vaccinations, health insurance discounts, mental wellness training Hollard is committed to creating a workplace that values diversity with a true sense of inclusion. We actively seek to hire for different lived experiences. If you don’t meet all our expected criteria, we strongly encourage you to apply anyway! NO AGENCIES. We will not require any support from Recruitment Agencies. #J-18808-Ljbffr