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    Senior Data Engineer

    Original title · English translation pending

    TabbyRemote - KazakhstanPosted 2026-09-20Last seen in source
    Location
    Remote - Kazakhstan
    Employment
    Full Time
    Workplace
    Remote (restricted)
    Apply by
    2026-11-19
    Data Engineering
    Apply via Himalayas

    Role description

    Original description · English translation pending

    Tabby (https://himalayas.app/companies/tabby) creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby (https://himalayas.app/companies/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 (https://himalayas.app/companies/tabby) to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby (https://himalayas.app/companies/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 (https://himalayas.app/companies/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.

    Key Responsibilities:

    • Development Features store and other future data services;
    • Development EL / ELT / ETL pipelines;
    • Integration new tools for data processing and data storing;

    Skills, Knowledge & Expertise:

    • 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.

    What we offer:

    • 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

    Originally posted on Himalayas (https://himalayas.app)

    Listing sourced from himalayas. wwshemi does not process applications.