Data Engineer

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 17 million users choose Tabby to stay in control of their spending and make the most out of their money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees.

Over 40,000 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 generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.

Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4. 5 billion.

We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.

Key Responsibilities

DWH development for Business Users, Analysts and ML Engineers; Data synchronization between internal and external systems; Development tools for collecting data into DWH; Development EL / ELT / ETL pipelines; Integration new tools and practices for data governance and data quality; Costs optimization.

Skills, Knowledge & Expertise: 3+ years of experience as a Data Engineer; DWH development and maintenance experience; Architecture: Kimball, Inmon, Medallion, Data Mesh; Data modeling: SCD forms, Normal forms, Star Schema, Data Vault; Python + best practice for Python; SQL + best practice for SQL; System design best practices; Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab(CI/CD), GCP; Best practice for data processing and data storing.

Bonus skills REST API / GRPC API / Message brokers & Queues; Experience on modern systems of data storing: Relational, MPP, NoSQL; Exper