Senior Data Engineer

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

Build and operate internal data services for a fintech platform, including a Feature Store and future data products. Design and implement high-load, scalable data processing and storage systems with event-driven, streaming pipelines. Own end-to-end EL/ETL/ELT pipelines and integrations, using Python and SQL along with tools like Airflow, Debezium, BigQuery/ClickHouse, and GCP. Collaborate with an international engineering team to deliver reliable data infrastructure.

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FursaFursa
Tabby
Tabby
2 days ago

Senior Data Engineer

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

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

Job Summary

Build and operate internal data services for a fintech platform, including a Feature Store and future data products. Design and implement high-load, scalable data processing and storage systems with event-driven, streaming pipelines. Own end-to-end EL/ETL/ELT pipelines and integrations, using Python and SQL along with tools like Airflow, Debezium, BigQuery/ClickHouse, and GCP. Collaborate with an international engineering team to deliver reliable data infrastructure.
Location: Belgrade
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Create internal data solutions such as a Feature Store and other future data services.
  • •Develop and maintain EL/ELT/ETL pipelines and integrate new tools for data processing and storage.
  • •Build and operate event-driven systems and streaming pipelines for data services.
  • •Design system architecture using system design best practices to support high-load workloads.
  • •Use APIs and messaging (REST/gRPC, message brokers/queues) to power data infrastructure integrations.

Pay and Benefits

Perks:Remote WorkPaid LeaveEquity

Key Requirements

  • •3–5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer.
  • •Experience building high-load, scalable data processing and storage systems.
  • •Strong background in event-driven systems and streaming pipelines.
  • •Proficiency in Python and SQL, following best practices.
  • •Familiarity with system design best practices and data tooling such as Airflow, Debezium, and BigQuery/ClickHouse.
Experience:3-5 yearsFintechStreamingData engineering
Tech Stack:PythonSQLAirflowDebeziumBigQueryClickhousePostgreSQLCockroachDBDockerGitLabGCPREST APIGRPCMessage brokersQueues

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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