InDebted is changing the way organisations recover outstanding accounts by combining human values with compelling messaging and data-driven decisions. We do this to deliver on our mission to erase the stigma of debt and to improve the financial fitness of our customers.
We are a fast-growing startup that believes in putting our customers first, tackling tough problems head-on, and simply trusting our employees to get stuff done. We offer flexible schedules, unlimited paid leave, competitive salaries, stock options, and other perks that come with being a remote-first company.
In the data team at InDebted, we are developing machine learning models and other data driven approaches to accelerate our disruption of the traditional debt collection industry. By utilising the rich datasets we have accumulated from communicating with our customers via digital-first channels and other innovations, we are able to efficiently deliver significantly better results compared to our peers. Be part of this exciting journey as a data engineer working with our data scientists, software engineers and product managers as we develop our data pipeline infrastructure as part of a greenfield project.
As a Data Engineer at InDebted, you will be sought after for your broad technical skills developing and implementing data pipelines (amongst other data infrastructure) to support the implementation of machine learning models, business intelligence analytics, and other data projects.
Data Tech Stack
Data Tech Stack: Python, Go, Event Sourcing; AWS, AWS Serverless (Lambda Functions), Sagemaker, S3, Glue, Athena, ECR, SQS, SNS, Dynamo, Terraform, DataDog, GitHub, Trello
Where will this role be based?
This role is based out of our HQ in Sydney, Australia
Diversity and Inclusion
At InDebted, we respect and celebrate the unique attributes, characteristics, and perspectives that make each person who they are. We also believe that bringing diverse individuals together allows us to build better products and a better overall company. InDebted is an Equal Opportunity Employer.