Senior Data Engineer

Tabby
Poland
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: []

Build and operate data services for Tabby’s Data Services Team, including internal solutions like a Feature Store. Develop high-load, scalable data processing and storage systems, with event-driven and streaming pipelines. Own core data engineering workflows across EL/ETL, integration of new tooling, and exposure of services via REST/gRPC and message broker/queue-based architectures. Work fully remotely with an international engineering team in a fast-scaling fintech.

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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 data services for Tabby’s Data Services Team, including internal solutions like a Feature Store. Develop high-load, scalable data processing and storage systems, with event-driven and streaming pipelines. Own core data engineering workflows across EL/ETL, integration of new tooling, and exposure of services via REST/gRPC and message broker/queue-based architectures. Work fully remotely with an international engineering team in a fast-scaling fintech.
Location: Poland
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 for the Data Services Team.
  • •Develop and maintain EL/ELT/ETL pipelines for data processing.
  • •Design scalable, high-load data processing and storage systems using best practices.
  • •Implement and operate event-driven systems and streaming pipelines.
  • •Integrate new tools for data processing and data storage and support service access via REST/gRPC and messaging/queue architectures.

Pay and Benefits

Perks:Remote WorkTax AllowancePaid LeaveEquityLearning Budget

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 with Python and SQL, including best practices.
  • •Familiarity with data stack tools such as Airflow, Debezium, BigQuery/ClickHouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, and GCP.
Experience:FintechData engineeringEvent-driven systemsStreaming pipelines
Tech Stack:PythonSQLAirflowDebeziumBigQueryClickhousePostgreSQLCockroachDBDockerGitLabCI/CDGCPREST APIGRPCMessage brokersQueuesFeature StoreELELTETL

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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