data engineer in fintech

Tabby creates financial freedom by reshaping how people shop, earn, and save. Its flagship offering lets shoppers split payments online and in stores without interest or fees, while more than 70,000 brands and small businesses use the service to accelerate growth and build customer loyalty.

• Develop Feature Store and other future data services;
• Develop EL, ELT, and ETL pipelines;
• Integrate new tools for data processing and storage;
• Perform operational tasks for internal data solutions.

• 3–5 Years of experience as a Data Engineer, ML Engineer, or Backend Engineer;
• Experience developing high-load and scalable data processing and storage systems;
• Good knowledge of event-driven systems and streaming pipelines;
• Strong Python knowledge and best practices;
• Strong SQL knowledge and best practices;
• Knowledge of system design best practices;
• Familiarity with Airflow, Debezium, BigQuery or ClickHouse, PostgreSQL or CockroachDB, Docker, GitLab CI/CD, and GCP;
• Experience with REST API, gRPC API, message brokers, and queues;
• Nice to have: Go development experience, modern data storage systems including relational, MPP, and NoSQL, Google Cloud Platform experience.

• Full-time B2B contract;
• Up to 20% tax allowance;
• 22 Paid leave days annually;
• Stock options (ESOP) in a fast-scaling, pre-IPO company;
• Flexi benefits for wellness, travel, or learning;
• International engineering team in a global fintech unicorn.