Senior Data Engineer

Tabby
Kazakhstan
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3-5 yearsSkills: []

Build and operate internal data services for the Data Services Team, including a Feature Store and supporting pipelines. Develop high-load, scalable data processing and storage systems with strong event-driven and streaming design. Design and implement EL/ETL workloads, integrate new tools, and collaborate with an international engineering team while delivering reliable APIs and data infrastructure in a fast-scaling fintech environment.

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FursaFursa
Tabby
Tabby
15 hours ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and operate internal data services for the Data Services Team, including a Feature Store and supporting pipelines. Develop high-load, scalable data processing and storage systems with strong event-driven and streaming design. Design and implement EL/ETL workloads, integrate new tools, and collaborate with an international engineering team while delivering reliable APIs and data infrastructure in a fast-scaling fintech environment.
Location: Kazakhstan
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Help create internal solutions such as a Feature Store for the Data Services Team.
  • •Develop and maintain high-load, scalable data processing and storage systems.
  • •Build and operate event-driven systems and streaming pipelines.
  • •Develop EL/ELT/ETL pipelines and integrate tools for data processing and storage.
  • •Support operational tasks for data services in a fully remote setup.

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote WorkPaid LeaveEquityLearning BudgetWellness StipendTravel Allowance

Key Requirements

  • •3-5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer.
  • •Experience developing high-load, scalable data processing and storage systems.
  • •Strong background in event-driven systems and streaming pipelines.
  • •Proficiency in Python (best practices) and SQL (best practices).
  • •Familiarity with system design best practices and data tooling/stack (e.g., Airflow, Debezium, BigQuery/ClickHouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, GCP).
Experience:3-5 yearsFintechEvent-drivenStreamingData pipelines
Tech Stack:PythonSQLAirflowDebeziumBigQueryClickhousePostgreSQLCockroachDBDockerGitLabGCPREST APIGRPCMessage brokersQueuesELELTETL

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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