InDebted
Lead Analytics Engineer (Remote)
Lead Analytics Engineer | InDebted | Mexico
Lead Analytics Engineer | InDebted | Mexico
We’re fully remote, with a team of over 300 people living and working all around the world. Founded in Australia, we’ve since expanded into the United States, United Kingdom, Canada, and New Zealand. We’ve doubled our revenue year over year, with significant growth on the horizon. Now is an incredible time to join the team as we continue on our mission to help millions of consumers resolve debt, better.
Summary Description
The Data team at InDebted focuses on developing machine learning models, AI solutions, BI solutions and data transformation processes 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 collections performance results compared to our peers
Be part of this exciting journey as a Lead Analytics Engineer at InDebted working with other members of our R&D team to develop and deploy robust custom reporting data pipelines and file integration solutions. This is a developer role with people management responsibilities
Duties And Responsibilities
- Develop data pipelines using Python and associated orchestration tools and processes
- Deploy data pipelines following best practice DevOps principles and incorporating automated testing
- Drive a culture of continuous analytics improvement to advance data literacy across the organisation
- Lead, manage and mentor a team of analytics engineers
- Be a team player, foster a speed-oriented culture in our data team and help to cultivate a fast-growing team
- Work autonomously and make decisions collaboratively, within a team that will support and challenge you as you grow and develop
Required Attributes
- Strong development skills in Python
- Experience writing SQL queries for extracting and processing data
- Experience with data structure and data modelling, as well as translating business requirements to fit the purpose
- Experience using Git version control
- Comfortable with a fast-paced working environment where priorities may change frequently
- Excellent verbal and written communication skills with the ability to understand and explain complex concepts to technical and non-technical audiences
- Familiarity with AWS (or other cloud service providers)
Highly Valued Attributes
- Experience deploying data pipelines following best practice, including writing automated tests and setting up of CI/CD pipelines
- Experience with orchestration tools such as Dagster and data processing frameworks
- Experience working with event-oriented data structures
- Familiarity with data transformation tools such as dbt
- Experience with hiring and team-building
Analytics Engineering Tech Stack
- AWS Athena, Dagster, dbt, Python
Our Benefits
Recognised by the AFR as Australia’s Best Place to Work in 2022, the benefits of life at InDebted include:
Flexible working – We’re a global, fully remote team passionate about making work, work for you
Employee equity – Access to share options in something big
Flexible paid leave – Our trust-based leave model enables you to choose when you take leave, how much you take, and what you take it for
Uprise – Our EAP Provider supports your physical, social & psychological wellbeing
Remote work set-up – Budget of AUD $750 (or local equivalent) to help you create a working environment that supports your productivity
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.
For Recruiters: We appreciate the interest of all candidates and recruitment agencies, however for this role we are managing this hiring process internally and will not be accepting applications through recruitment agencies. Thank you
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