Senior Data Engineer

Tabby
Belgrade
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3-5 yearsSkills: ["System design","Operational readiness","Best practices"]

Build and support internal data services for a fintech platform, including a Feature Store and end-to-end data pipelines. You’ll develop EL/ETL workflows, integrate tools for scalable data storage and processing, and help operationalize high-load systems. Working with streaming and event-driven architectures, you’ll design robust data foundations using modern engineering practices across cloud and data tooling.

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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: 10 hours agoStatus: Live

Job Summary

Build and support internal data services for a fintech platform, including a Feature Store and end-to-end data pipelines. You’ll develop EL/ETL workflows, integrate tools for scalable data storage and processing, and help operationalize high-load systems. Working with streaming and event-driven architectures, you’ll design robust data foundations using modern engineering practices across cloud and data tooling.
Location: Belgrade
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.
  • •Develop EL/ELT/ETL pipelines for data processing and storage.
  • •Integrate new tools for data processing and data storage.
  • •Perform operational tasks to support data services.
  • •Work with event-driven systems and streaming pipeline development.

Pay and Benefits

Perks:Remote WorkPaid LeaveEquityLearning BudgetWellness Stipend

Key Requirements

  • •3–5 years of experience as a Data Engineer/ML Engineer/Backend Engineer.
  • •Develop high-load, scalable data processing and storage systems.
  • •Strong knowledge of event-driven systems and streaming pipelines.
  • •Hands-on with Python and SQL using best practices.
  • •Familiar with data/engineering tools such as Airflow, Debezium, BigQuery/ClickHouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, and GCP.
Experience:3-5 yearsFintechStreaming pipelinesData engineeringB2B
Skills:System designOperational readinessBest practices
Tech Stack:PythonSQLAirflowDebeziumBigQueryClickhousePostgreSQLCockroachDBDockerGitLabGCPREST APIGRPCMessage brokersQueuesFeature Store

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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