Senior Data Engineer

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 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 70,000 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 $18 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 $6,5 billion. We are hiring a Data Engineer for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks. - Development Features store and other future data services; - Development EL / ELT / ETL pipelines; - Integration new tools for data processing and data storing; - 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; - Experience in developing high-load and scalable data processing and storage systems; - Good knowledge and background in event driving systems and streaming pipelines; - Python + best practice for Python; - SQL + best practice for SQL; - System design best practices; - Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP; - REST API / GRPC API / Message brokers & Queues. Bonus skills - GO development experience; - Experience on modern systems of data storing: Relational, MPP, NoSQL; - Experience on Google Cloud Platform. - Full-time B2B contract - Fully remote setup - Up to 20% tax allowance - 22 paid leave days annually - Stock options (ESOP) in a fast-scaling, pre-IPO company - Flexi benefits you can use for wellness, travel, or learning - Work alongside a high-performing, international engineering team in a global fintech unicorn

3-5 years of experience as Data Engineer, ML Engineer, or Backend Engineer; Experience in developing high-load and scalable data processing and storage systems; Good knowledge and background in event driven systems and streaming pipelines; Python + best practice for Python; SQL + best practice for SQL; System design best practices; Familiar with tech stack: Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP; REST API / GRPC API / Message brokers & Queues.

Development of features store and other future data services; Development EL / ELT / ETL pipelines; Integration of new tools for data processing and data storing.