data engineer in fintech

Tabby creates financial freedom by reshaping how people shop, earn, and save. Its flagship offering allows shoppers to split payments online and in-store without interest or fees, while helping brands and small businesses accelerate growth through flexible payments.

• Develop a DWH for business users, analysts, and ML engineers;
• Synchronize data between internal and external systems;
• Develop tools for collecting data into the DWH;
• Develop EL, ELT, and ETL pipelines;
• Integrate new tools and practices for data governance and data quality;
• Optimize costs.

• 3+ Years of experience as a Data Engineer;
• Experience developing and maintaining DWH systems;
• Knowledge of DWH architectures: Kimball, Inmon, Medallion, Data Mesh;
• Knowledge of data modeling: SCD forms, normal forms, Star Schema, Data Vault;
• Python and Python best practices;
• SQL and SQL best practices;
• Knowledge of system design best practices;
• Familiarity with Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab (CI/CD), and GCP;
• Knowledge of best practices for data processing and storage;
• Nice to have: REST API, GRPC API, message brokers and queues, modern data storage systems including relational, MPP, and NoSQL systems, Google Cloud Platform.

• 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;
• Relocation support is available to hubs in Armenia, Georgia, Serbia, Poland, and Spain, including flights, temporary accommodation, and legal setup if needed.