Data Engineer. Suecia

If you are looking for an exciting opportunity to grow your career and contribute to the success of a growing company, we encourage you to apply for this position. We offer a competitive salary and benefits, as well as the opportunity to work with a dynamic and talented team. Come join us to build the next big thing in Fintech!

THE ROLE & PROBLEM SPACE - WHAT WE NEED

The North Star for Data & Analytics at Yabie is 100% self-service. We aim to make data, insights, and decision materials accessible to all stakeholders at any point, with the lowest possible thresholds. Our strategy to accomplish this is by automating data accessibility through pipelining, modeling, setting up intuitive semantic layers, and creating easy-to-use dashboards. As the Data Engineering Lead, you will work together with the Head of Analytics to own and develop this problem space. Responsibilities include:

OVERALL KEY TASKS & RESPONSIBILITIES

    Owning the data warehouse, data model, and dashboard strategy and implementation

    Handling backend engineering tasks, including integrating new data sources

    Managing the full stack of the layering model, from raw data ingestion to the dashboard layer

     Automating reporting processes

    Setting the foundation for and later performing advanced analytics, including inference, machine learning, customer segmentation, etc.

    Collaborating with the Head of Analytics to set and iterate on KPIs & Targets to develop a reporting framework for external and internal stakeholders

EXPERIENCE AND SKILLS - WHO YOU ARE

    5-7 years of working experience in a related field

    Warehousing: AWS experience is preferred but not mandatory

    Data Modeling (ETL): Experience with DBT is preferred but not mandatory

    Dashboarding: Basic knowledge required

    Backend & API Integration: Experience required to connect more data sources to the warehouse

    Advanced Analytics Skillset and Interest: An interest in advanced topics such as ML and AI is preferred