Principal Data Engineer - Data Platforms

Melbourne, AU

Applications have closed

Xero

Xero online accounting software for your business connects you to your bank, accountant, bookkeeper, and other business apps. Start a free trial today.

View company page

Xero is a beautiful, easy-to-use platform that helps small businesses and their accounting and bookkeeping advisors grow and thrive. 
At Xero, our purpose is to make life better for people in small business, their advisors, and communities around the world. This purpose sits at the centre of everything we do. We support our people to do the best work of their lives so that they can help small businesses succeed through better tools, information and connections. Because when they succeed they make a difference, and when millions of small businesses are making a difference, the world is a more beautiful place.
The Data team is responsible for driving the adoption of data driven decision making across Xero - for both our internal users and our global audience of small business owners, bookkeepers and accountants. We create, manage and deliver a wide range of data services and products including core reporting, key data dimensions, extensible and scalable analytical data processing and storage facilities, machine learning frameworks and API driven prediction services.
We are the centre of expertise for data architecture, data modelling, machine learning, ethical data usage and artificial intelligence service design. We also lead the work to raise the data and AI literacy levels across Xero.

What you'll do

  • Lead, consult, and deliver the Data Platform features and services as per a Roadmap you co-design and deliver
  • Ensure that the architectures of our Data & Analytics platforms are fault tolerant and built to scale
  • Set standards and best practices for ongoing enhancements based on Xero's data platforms architecture
  • Research and champion new toolsets/methods to improve data ingestion, storage, and data access in the analytics platform
  • Work at the intersection of infrastructure and software engineering, design and deploy cloud infrastructure built on top of components
  • Provide leadership, guidance and technical mentoring to engineering teams, including code reviews to uplift capability and skills

What you'll bring

  • Proven experience developing and maintaining Data Platform Services on Cloud Infrastructure  
  • Experience in defining, designing and maintaining  large-scale enterprise Data Platforms and solutions
  • Proven experience in operating at a senior technical level 
  • Extensive experience in one or more programming languages
  • Good understanding and experience measuring non-functionals, like reliability, availability, security and performance
  • Proven experience facilitating discussions with technical and non-technical audiences

Why Xero?
At Xero we support many types of flexible working arrangements that allow you to balance your work, your life and your passions. We offer a great remuneration package including shares plus a range of leave options to suit your well-being. Our work environment encourages continuous improvement and career development and you’ll get to work with the latest technology.  
Our collaborative and inclusive culture is one we’re immensely proud of. We know that a diverse workforce is a strength that enables businesses, including ours, to better understand and serve customers, attract top talent and innovate successfully. We are a member of Pride in Diversity, in recognition of our inclusive workplace. So, from the moment you step through our doors, you’ll feel welcome and supported to do the best work of your life.

Tags: APIs Engineering Machine Learning Research Security

Perks/benefits: Career development Competitive pay Equity Flex hours

Region: Asia/Pacific
Country: Australia
Job stats:  5  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.