Arbetsbeskrivning

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

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

• 5-10 years of working experience in a related field
• Warehousing: AWS/Azure/GCP experience is madatory.
• 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
• ML and AI is madatory