Data Engineer at Tamara

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Risk Analytics, Data Quality, Data Transformation, Machine Learning, Data Modeling, BI Tools, Anomaly Detection, A/B Testing, Collaboration, Analytical Thinking, Problem Solving, Attention to Detail, Communication

Industry

Financial Services

Description

About Us Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses. Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices. Your Role We are looking for a Data Engineer with a strong analytical mindset and a keen interest in risk analytics. In this role, you'll support Tamara’s risk teams by turning complex data into actionable insights that help us manage risk exposure, refine lending strategies, and drive responsible growth. Your Responsibilities Design, build, and maintain feature marts to support machine learning models, underwriting strategies, and real-time decisioning. Develop scalable, production-grade data transformations using tools like SQL, dbt, or Python to power analytics, risk monitoring, and experimentation. Query and manipulate data from multiple sources (e.g., SQL, Snowflake) to deliver timely insights. Help enhance data quality through validation checks, anomaly detection, and observability of critical pipelines. Perform ad hoc analysis on new customer segments, risk events, or product changes. Help enhance data quality and develop scalable reporting solutions. Support experimentation and A/B testing related to risk initiatives. Collaborate closely with data scientists, risk analysts, and engineering teams to ensure robust data foundations for decision-making. Your Expertise 4–6 years of experience in a Business Intelligence, Data Analyst, Risk Analyst, or Analytical Engineering role. Strong SQL/Python skills; experience with BI tools like Looker, Power BI, or Tableau.Experience with data modeling, dbt, or orchestration tools (e.g., Airflow) is required. Comfortable working with lending or financial data, or strong interest in developing domain knowledge in credit risk. Solid analytical thinking and problem-solving ability with strong attention to detail. Ability to clearly communicate insights to both technical and non-technical stakeholders. Self-starter mentality — proactive, curious, and eager to learn in a fast-paced environment. Experience working in fintech, banking, or consumer lending is a plus. All qualified individuals are encouraged to apply.

Responsibilities

Design, build, and maintain feature marts to support machine learning models and underwriting strategies. Collaborate closely with data scientists and risk analysts to ensure robust data foundations for decision-making.