Data Engineer

Melbourne, AU

Xero

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Our PurposeAt Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small business, we’ll be building a stronger economy that can change the world.
How you’ll make an impact
As a data engineer in the Marketing Data Science, Analytics & Insights team, you will be responsible for engineering  large and complex data sets, as well as build robust, reusable and optimized data pipelines. You will have broad technical skills of developing and implementing data pipelines as well as data infrastructure to support the implementation of data transformation for analytics, business intelligence, machine learning models and other data projects.

What you’ll do

  • Create integration between Xero’s Kafka infrastructure, Customer Data platform and other OLAP systems
  • Deploy data pipelines following  DevOps principles and incorporating automated code  & data testing.
  • 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 on  incident management,  service requests, enhancements/changes and audits

What you’ll bring with you

  • Strong data and technical background demonstrating innovation, initiative and a passion for data
  • Confidence in collecting, collating and interpreting business requirements in order to produce quality outcomes
  • Good time management with the ability  to multitask, prioritize and deliver to  schedule
  • Highly motivated and proactive nature,  constantly looking at methods for  improvement
  • Solution focused and has strong attention to detail
  • Experience working with Business Owners and different stakeholders to gather  data requirements and provide solutions
  • CI/CD tools like Teamcity, GitHub Actions Jenkins, Harness or Circle.c
  • Infrastructure as code utilities like Terraform, Cloudformation.
  • Docker and Kubernetes.
  • Good knowledge of SQL,  Snowflake, dbt, Python, AWS, AWS Serverless (Lambda Functions), SQS, -SNS, S3, Glue,
  • Clear and concise oral & written communication including technical  documentation
  • Experienced in orchestration tools (such as Apache Airflow, Prefect)
  • Proficient in roll out and maintenance of cloud infrastructure
  • Knowledge of data requirements for ML /  AI use cases beneficial
  • CDP implementation experience is plus
Why Xero? Offering very generous paid leave to use however you’d like (plus statutory holidays!), dedicated paid leave to care for your physical and mental wellbeing as well as an Employee Assistance Program to access mental health care for you and your family, health insurance, life insurance, and income protection, wellbeing and sports programmes, employee resource groups, 26 weeks of paid parental leave for primary caregivers, an Employee Share Plan, beautiful offices, flexible working, career development, and many other benefits that reflect our human value, you’ll do the best work of your life at Xero.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow AWS Business Intelligence CI/CD CloudFormation Data pipelines Data quality dbt DevOps Docker Engineering GitHub Jenkins Kafka Kubernetes Lambda Machine Learning ML models OLAP Pipelines Python Snowflake SQL Terraform Testing

Perks/benefits: Career development Flex hours Health care Parental leave

Region: Asia/Pacific
Country: Australia

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