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-store without interest or fees, while more than 40,000 brands and small businesses use Tabby to accelerate growth and build customer loyalty.

• Develop Feature Store features and other future data services;
• Develop EL / ELT / ETL pipelines;
• Integrate new tools for data processing and data storage;
• Perform operational tasks for the Data Services Team.

• 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 and background in event-driven systems and streaming pipelines;
• Strong Python knowledge and Python best practices;
• Strong SQL knowledge and SQL best practices;
• Knowledge of system design best practices;
• Experience with REST API, GRPC API, message brokers, and queues;
• Experience with modern data storage systems, including relational, MPP, and NoSQL databases;
• Experience with Google Cloud Platform;
• Nice to have: experience with Airflow, Debezium, BigQuery / ClickHouse, PostgreSQL / CockroachDB, Docker, GitLab (CI/CD), GCP, and Go development.

• 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.