Senior Data Engineer

Tabby
Tbilisi
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["System design","Scalability","Data pipeline development"]

Design and build data platform capabilities for internal services, including a Feature Store and future data services. Develop and integrate high-load, scalable data processing and storage pipelines using event-driven and streaming architectures. Work with systems such as Airflow, Debezium, BigQuery/ClickHouse, and PostgreSQL/CockroachDB, while collaborating on EL/ETL workflows, REST/gRPC integrations, and reliable messaging/queue-based pipelines.

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FursaFursa
Tabby
Tabby
2 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and build data platform capabilities for internal services, including a Feature Store and future data services. Develop and integrate high-load, scalable data processing and storage pipelines using event-driven and streaming architectures. Work with systems such as Airflow, Debezium, BigQuery/ClickHouse, and PostgreSQL/CockroachDB, while collaborating on EL/ETL workflows, REST/gRPC integrations, and reliable messaging/queue-based pipelines.
Location: Tbilisi
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Create internal data services such as a Feature Store and other future data services.
  • •Develop EL/ELT/ETL pipelines for data processing and storage.
  • •Implement scalable, high-load data processing and storage systems.
  • •Integrate new tools for data processing and data storage.
  • •Contribute to operational readiness and improvements for the Data Services team.

Pay and Benefits

Perks:Remote WorkPaid LeaveEquityLearning BudgetWellness Stipend

Key Requirements

  • •3-5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer.
  • •Develop high-load, scalable data processing and storage systems.
  • •Build event-driven systems and streaming pipelines.
  • •Strong Python and SQL skills with best practices.
  • •Knowledge of data engineering tech stack (Airflow, Debezium, BigQuery/ClickHouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, GCP) plus API and messaging experience (REST/gRPC, brokers/queues).
Experience:FintechData engineeringEvent-driven systemsStreaming pipelines
Skills:System designScalabilityData pipeline development
Tech Stack:PythonSQLAirflowDebeziumBigQueryClickhousePostgreSQLCockroachDBDockerGitLabGCPREST APIGRPCMessage brokersQueuesETLELTETL pipelines

Company Brief

Tabby
Tabby is a MENA buy‑now‑pay‑later and fintech platform that enables customers to split purchases into installments, offers in‑store and online payment products, a consumer app, and merchant services across Saudi Arabia, UAE, Kuwait and the wider region.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Riyadh, Saudi Arabia
Founded: 2019
Glassdoor
Glassdoor: 4.0
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