Last updated 41 minutes ago
Typical activities may include building data pipelines for analytical data usage, data modelling, data integration and implementing Extract/Transform/Load (ETL)processes Build, and publish standardized data sets used by the analyst community to answer business questions Develop, and maintain ETL processes and processing schedules required to produce data sets Demonstrates a focus on continual self improvement, across both the technical and business aspects of delivering high quality data enrichment solutions Provide support to data quality and data validation through analysis of data and assisting in understanding the meaning of data. Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored and reported. Work collaboratively with other members of the Data team. Participate in regular scrums and work with peers to ensure data availability Work on the queue for incidents, service requests, enhancements/changes and audits Assist team with onboarding new product and applications engineering teams Be part of the on-call team to help data and engineering teams enabling greater performance and throughput Ensure Data Governance standards are incorporated at the implementation level Work with Product and Technology teams to understand the types of data collected in various applications, databases and domains Input into data enrichment standards and principles
Solid practical experience in engineering data for the purpose of data analytics Highly motivated and proactive nature, constantly looking at methods for improvement Experience in one or more of software engineering technologies is an advantage Clear and concise oral & written communication including technical documentation Practitioner level skills in - large scale data integration and data management Bachelor of Computer Science, or relevant qualification Extensive experience with analysis, design, optimisation and development of database queries and ETL processes Experience with cloud based technologies and databases Knowledge of data requirements for ML / AI use cases beneficial
|Job Type:||Full Time|
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.
About the Team
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 including core reporting, key data dimensions, extensible and scalable analytical data processing and storage facilities, machine learning toolsets, frameworks and API driven prediction services. We are the center of expertise for data architecture, data modeling, 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 with a particular focus on the product management and engineering cohorts globally.
About the Role
As a Data Engineer, you will engineer large and complex data sets, as well as build robust, reusable and optimised data pipelines. You will develop, administer and operate the data pipelines and data enrichment activities on a variety of Data Platform(s) in a reliable and secure manner for the users of the ecosystem.
What you'll do...
What you'll bring with you...
Xero is an NZ Immigration Accredited Employer and Rainbow Tick certified too.
Please include a cover letter in your application, telling us why you’re a great fit for this position.