Team Lead - Data Engineering, DevOps

Xero

full-time

Posted on: 9/17/2025

Origin: • 🇦🇺 Australia

✨ AI Apply

Senior

AirflowApacheAWSCloudDockerJenkinsKubernetesPythonSQLTerraform

About the role

How you’ll make an impact
As a Team lead - Data engineering in the Marketing Data Science, Analytics & Insights team, you will be responsible for leading some of Xero’s brightest data engineers in large and complex data sets, as well as build robust, reusable and optimized data pipelines.
Our Data Engineering team helps deliver data and analytics to our customers, who include data scientists, analysts, product owners within the marketing team. This team provisions data pipelines and solutions that enable Xero to deliver on its exciting data and analytics strategy. This team also develops high-quality data architectures and processes that enable data to be processed and consumed in the way our organization can best leverage it.

What you’ll bring with you
Critical competencies
Strong people skills with an ability to keep the team motivated towards learning and delivery.
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
Technical
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