Summary
✨ AI‑Generated
A rapidly growing financial technology company is hiring a Senior Data Engineer for its Data Platform and ML function. The role focuses on building and scaling data capabilities that support a large consumer base and substantial transaction volumes, with the position based remotely within a specified country.
Highlights
Join a rapidly growing financial technology environment and work remotely on data platform capabilities supporting large-scale financial transactions and millions of users.
Description
Department: Data Platform & ML
Location: Remote/Kazakhstan
Description
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.
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 contractFully remote setupUp to 20% tax allowance22 paid leave days annuallyStock options (ESOP) in a fast-scaling, pre-IPO companyFlexi benefits you can use for wellness, travel, or learningWork alongside a high-performing, international engineering team in a global fintech unicorn
