Lead Analytics Engineer

Mexico
Research and Development – Data Analytics & Insights /
Employed Via Deel Contract /
Remote
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