Data Engineer

About the role

Tabby is looking for a skilled Data Engineer to join its Data Platform & ML team. You will help build and maintain a modern data warehouse on Google Cloud, enabling business users, analysts, and ML engineers to access reliable data for decision‑making.

Key responsibilities

• Design, develop, and maintain the corporate data warehouse (DWH) using best‑in‑class cloud technologies.
• Implement and optimise EL/ELT/ETL pipelines for data ingestion from internal and external sources.
• Synchronise data across systems and ensure data quality and governance.
• Collaborate with analysts and ML engineers to provide performant data models and datasets.
• Monitor costs and optimise resource usage on the cloud platform.

Required profile

• 3+ years of professional experience as a Data Engineer.
• Hands‑on experience with DWH design (Kimball, Inmon, Medallion, Data Mesh) and data modelling (SCD, star schema, Data Vault).
• Strong understanding of system design and data‑processing best practices.

Required skills

• Python and SQL (best practices).
• Airflow, dbt, BigQuery, ClickHouse, PostgreSQL.
• Docker, GitLab CI/CD, Google Cloud Platform.
• REST API, gRPC, message brokers and queues.
• Experience with relational, MPP and NoSQL data stores.

What we offer

• Full‑time B2B contract with a fully remote setup.
• Up to 20% tax allowance and 22 paid leave days per year.
• Stock options (ESOP) in a fast‑scaling pre‑IPO fintech unicorn.
• Flexi‑benefits for wellness, travel or learning.
• Relocation support to hubs in Armenia, Georgia, Serbia, Poland and Spain.