Team Lead - Data Engineering (DevOps)
Melbourne, AU
Xero
Xero online accounting software for your business connects you to your bank, accountant, bookkeeper, and other business apps. Start a free trial today.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CI/CD CloudFormation Data pipelines Data quality dbt DevOps Docker Engineering GitHub Jenkins Kubernetes Lambda Machine Learning Pipelines Python Security Snowflake SQL Terraform
Perks/benefits: Career development Flex hours Health care Parental leave
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.