Data Engineering Technical Lead
vor 1 Tag
Add expected salary to your profile for insights
Opportunity to work with the 5th largest General Insurer in AustraliaOpen for Sydney, Melbourne and Brisbane candidates - Remote/ Hybrid work flexibilityGreat 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, driven by its purpose of "Using our expertise, integrity and humanity to go further, together."
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.
The team is involved in all aspects from design through to testing, implementation, maintenance and support.
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 responsibilitiesReporting 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; understand, document, communicate and build appropriate solutions.Promote, maintain and drive adherence to "best practices" and coding standards for the team to enable the implementation of a robust data platform.
These include metadata framework, code versioning and management, reconciliation framework, platform monitoring, CI/CD pipelines, platform monitoring, environment management principles, etc.Lead the translation of data architecture design and logical data models into physical design to build reusable components, frameworks, and libraries, ensuring the delivery of an efficient and scalable data asset in an Azure environment.Lead internal and external engineering teams to build products and/or infrastructure required to support scalable data products, providing effective guidance for analysis, design, programming, and testing skills.Accountable for the delivery of robust data pipelines and data transformations across the data platform, including data reconciliation, metadata management, platform monitoring.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, which includes demonstrated experience in using Azure data analytics tools such as Data Factory, Synapse, Azure SQL, data lake gen2, key vault.Strong software engineering, SQL, and coding skills in data intensive environments (transactional and columnar databases) is required.Experience working in DevOps and Agile environments, as well as continuous integration.A comprehensive understanding of data warehousing and data transformation processes and the supporting cloud/emerging technologies, such as Azure Synapse/Azure Fabric/Snowflake (or similar), and traditional ETL tools.Strong knowledge and hands-on experience in implementing modern lake house architecture on Azure Data Lake Gen2 and Apache Spark using PySpark is required.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.
We also offer many benefits to support your professional development and wellbeing including:
Professional and technical development opportunitiesFlexible start and finish times, work from home, and other flexible work options to suit your lifestylePaid parental and partner leaveAdditional leave options, including 5 well-being days each yearNovated lease optionsCorporate employee discounts from various retailersWellbeing benefits e.g., vaccinations, health insurance discounts, mental wellness training, professional memberships, EAPHollard is unapologetically committed to creating a workplace that values your diversity with a true sense of inclusion.
We actively seek to hire for your different lived experiences (including as related to disability, ethnicity, faith, Aboriginal and Torres Strait Islander Peoples, gender diversity, sexual orientation, age, neurodiversity).
These enhance cognitive diversity and psychological safety in our workplace for everyone.
Hollard proudly promotes flexible work including remote work, non-traditional work patterns, and work-family balance.
If you don't meet all our expected criteria, we strongly encourage you to apply anyway
Our priority is to hire the most talented people we can from all walks of life even if not all our above boxes are ticked.
NO AGENCIES.
We will not require any support from Recruitment Agencies and kindly request that no unsolicited resumes are sent to Hollard employees in relation to this role or others.
Only direct applications will be considered. Visit the Hollard careers page to learn about how Hollard will collect, store and handle your personal information. Your application will include the following questions:
Which of the following statements best describes your right to work in Australia?How many years' experience do you have as a Data Engineer?How much notice are you required to give your current employer?What's your expected annual base salary?How many years' experience do you have as an Azure Engineer?How many years' experience do you have in the insurance industry?Please confirm your full legal name.Hollard conducts police and bankruptcy checks on all new employees.
Do you have any convictions or current proceedings pending which may lead to a conviction?
If yes, please provide details.Do you have any friends, family members, business partners or other acquaintances currently employed at Hollard?
If yes, please list their full name. #J-18808-Ljbffr
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