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Senior Data Quality Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Georgia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Data Quality Engineer (Fintech): Ensuring the accuracy, completeness, consistency, and reliability of financial data across ingestion, processing, storage, and consumption with an accent on observability, validation automation, and operational incident management. Focus on designing monitoring and alerting, investigating root causes, resolving data incidents, and preventing recurring quality issues across large-scale data operations.

Location: Tbilisi, Georgia; hybrid work format

Company

hirify.global operates a financial analysis platform used by more than 100 million traders and investors across 180+ countries.

What you will do

  • Define and maintain data quality, observability, monitoring, control, and SLA requirements.
  • Build dashboards, alerts, and automated checks for anomalies, data drift, duplicates, missing data, and delays.
  • Own data incidents from detection and triage through root cause analysis, remediation, and preventive actions.
  • Analyze data pipelines across ingestion, transfer, processing, transformation, storage, and consumption.
  • Collaborate with developers, product managers, analysts, and other teams to improve data reliability and operational processes.
  • Document quality requirements, monitoring approaches, incident processes, investigations, and prevention measures.

Requirements

  • 5+ years of experience in DataOps, data quality, data engineering, data analytics, or a related field.
  • Strong knowledge of data quality dimensions, data observability, monitoring, quality assurance, test design, validation, and edge-case analysis.
  • Experience with data incident management, including triage, investigation, root cause analysis, remediation, and prevention.
  • Understanding of ETL, batch, and streaming data pipelines, plus high comfort with Linux, terminal tools, and log analysis.
  • Working knowledge of JSON/YAML, Git/GitHub, CI/CD, SDLC concepts, Python, Bash, and regular expressions.
  • B2+ English proficiency with strong technical reading and written communication skills; practical understanding of financial data and markets.

Nice to have

  • Experience with Kafka, data observability tools, data catalogs, metadata management, or OpenMetadata.
  • Understanding of dbt and experience building data quality frameworks or automated validation systems.
  • Familiarity with AI tools, AI-assisted engineering workflows, hirify.global, or similar financial-market products.

Culture & Benefits

  • Flexible working hours and a hybrid work environment.
  • Well-equipped offices for focused and collaborative work.
  • Global distributed team of 500+ professionals.
  • Learning, mentorship, and long-term career growth opportunities.
  • Relocation support, private health insurance, performance-based bonuses, and hirify.global Premium access.
  • Regular team events and company-wide meetups.

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