Risk Data Engineer

Department: Risk

Employment Type: Full Time

Location: Egypt

Reporting To: Mennatullah Mustafa

Description

About us:

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein, use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest-rated, most-reviewed, largest and fastest-growing app of any fintech in the GCC region. Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.

About the role:

You'll be joining our growing Financial Risk team, which is responsible for Credit Risk Reporting, analytics, and modelling. We are looking for a talented and driven Data Engineer to help us build a robust analytical data warehouse tailored to our analytical needs.

As an Analytical Data Engineer, you will be responsible for designing, implementing, and maintaining a data warehouse that transforms our data into a structure that supports financial risk comprehensive analytics and reporting. You will work closely with the risk analytics team to understand their requirements and deliver a scalable and efficient data solution.

Key Responsibilities

• Design and implement an analytical data warehouse schema
• Develop ETL/ELT processes to transform and load data from the database to the analytical data warehouse.
• Optimize data models and queries for performance and scalability.
• Collaborate with the analytics team to gather requirements and ensure the data warehouse meets their needs.
• Implement data quality and validation checks to ensure data integrity.
• Document data models, ETL processes, and data warehouse architecture.
• Provide training and support to the analytics team on effectively using the data warehouse.
  
  
• Design proper monitoring process for different data sources

Skills, Knowledge & Expertise

• 1+ years of proven experience in data warehouse design and implementation.
• Strong SQL skills. Experience with Google BigQuery is an advantage
• Experience with ETL/ELT tools and processes (e.g., dbt, Apache NiFi, Talend, etc.).
• Familiarity with data modelling techniques (e.g., star schema, snowflake schema).
• Knowledge of data visualization tools (e.g. Tableau)
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to work collaboratively with a non-technical team.
• Understanding of risk analytics and financial data is a plus.

Job benefits

• We offer flexible working hours and trust you to work enough hours to do your job well at times that suit you and your team.
• A working environment that gives you autonomy and responsibility from day one.
• You should be comfortable with the idea that the quality of your work will influence the shape of your career.
• Participation in the company’s employee stock options program.
• Health Insurance.