DataOps Engineer, Risk at Afterpay

Enterprise Risk, Permanent Full-time, Melbourne or Sydney melbourne sydney engineering full-time
Description
Posted 19 days ago

DataOps Engineer, Risk

Office: Melbourne, Australia

About Us

Afterpay has transformed the way people pay by allowing shoppers to receive products immediately and pay in four simple instalments over a short period of time. The service is completely free for customers who pay on time - helping consumers spend money responsibly, without incurring interest, fees or revolving and extended debt. Afterpay is offered by more than 48,400 of the world’s best retailers and has more than 9 million active customers globally. The solution is currently available in Australia, New Zealand, the United States and the United Kingdom where it is called Clearpay. Afterpay is on a mission to be the world’s most loved way to pay. 

We are building our tech teams in Melbourne, San Francisco and Shanghai. We’re team players, committed to fast-paced quality work, and we’re looking for people who are keen to be part of something new as it rapidly grows to sky-high limits.

About the Opportunity

Be part of the Risk and Data Science DevOps team, you'll work closely with Data Scientists and Machine Learning experts to deliver data engineering solutions that enable data-driven insights for customers and commercial outcomes. In addition to this, the role is responsible for the smooth running of machine learning pipelines including automated testing and monitoring with a view to continual improvement of deployed models. You are also the advocate of the Cloud Native Architecture and DevOps Best Practices to enable the teams to achieve operational excellence.

What you’ll be doing

-Provisioning and maintaining Infrastructure as a Service (IaaS) using infrastructure as code frameworks such as Terraform, AWS SDK and CloudFormation
-Designing and implementing CI/CD pipelines in Buildkite
-Regular contributions to technology innovation in the data science and data engineering domain to business and team members
-Build ETL/ELT solutions for large scale data pipelines within AWS cloud
-Execute and refine a robust Machine Learning Operations
-Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data
-Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies

About you

-2-5 years experience with public cloud platforms (AWS preferred)
-Solid understanding of how to build Infrastructure as code and experience with Terraform, CloudFormation or AWS CDK
-Hands on experience in building ETL/ELT solutions for large scale data pipelines within AWS cloud
-Hands on experience in building and managing Apache Cassandra database and Apache Airflow Service cluster
-Experienced in designing and refining robust Machine Learning operations and utilised SageMaker
-Experienced in Apache Flink is highly desirable

To be successful in this role, you have to be an experienced DataOps Engineer with demonstrated knowledge and experience within data delivery, ETL/ELT, data management, solution design and delivery. Critical to success will be strong communication skills, analytical mindset, excellent documentation skills and have demonstrable experience in working with a variety of business stakeholders.

We play fair and reward you for doing the right thing. 

Once we are back in the office, you will enjoy working from our beautiful office space in Southbank and feel trusted to work flexibly, remaining connected to smart people in all our locations. We put opportunity before optimism and plan our careers quarterly, not annually. We are proud to support working parents of all genders in every country with a market-leading, equitable parental leave program including access to up to 24 weeks’ paid leave.

When you’re built from the ground up, there’s always room for growth. To challenge each other and shape a legacy built on real purpose, talent, and grit

How to Apply: We don’t know what the future holds. That’s the exciting part; we show up and make it happen. If you’re excited by this opportunity, click apply now!