Team Lead - Data Engineering (DevOps) - Xero

Job Title: Team Lead - Data Engineering (DevOps)
Job Location: Melbourne, AU
Job Listing URL: https://jobs.lever.co/xero/5554586f-6d3c-4318-8b90-0b24406a57fb
Job Description: 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.

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 do
Proactive and people centeredcentred leadership fostering an environment where teamwork and collaboration are encouraged and celebrated.
Ensure the team delivers on our goals on time while adhering to our quality standards and principles.
Prioritises and takes responsibility for work requested by your portfolio area and demonstrates high levels of accountability.
Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored and reported.
Liaise with architecture, security, product managers and marketers to ensure all deliveries are supported by the correct architectural implementation.
Work on incident management, service requests, enhancements/changes and audits.

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

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