Senior Data Quality Engineer

TradingView
Tbilisi
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringExperience: 5+ yearsSkills: ["Ownership","Problem-solving","Collaboration","Technical communication","Quality mindset"]

Own data quality, observability, and operational reliability across the data lifecycle. Define data quality requirements (metrics and SLAs), build monitoring dashboards and alerts, and manage the end-to-end data incident process from detection through root cause and prevention. Improve reliability by expanding automated validation coverage across ingestion, processing, transformation, storage, and consumption, while collaborating with engineering, product, and analytics teams.

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FursaFursa
TradingView
TradingView
1 day ago

Senior Data Quality Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own data quality, observability, and operational reliability across the data lifecycle. Define data quality requirements (metrics and SLAs), build monitoring dashboards and alerts, and manage the end-to-end data incident process from detection through root cause and prevention. Improve reliability by expanding automated validation coverage across ingestion, processing, transformation, storage, and consumption, while collaborating with engineering, product, and analytics teams.
Location: Tbilisi
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Define and maintain data quality and observability requirements, metrics, and SLAs across the data lifecycle.
  • •Build monitoring, dashboards, and alerts to detect anomalies, data drift, duplicates, missing/delayed data, and other quality issues.
  • •Own the end-to-end data incident lifecycle: detection, assessment, investigation, root cause analysis, remediation, and preventive actions.
  • •Understand and assess issues across ingestion, transfer, processing, transformation, storage, and consumption stages and their impact on resulting data.
  • •Expand automated data quality checks and operational controls, and collaborate cross-functionally to clarify requirements and improve long-term processes.

Pay and Benefits

Perks:Health InsuranceRelocation

Key Requirements

  • •5+ years in DataOps, Data Quality, Data Engineering, Data Analytics, or a related field with strong experience in data operations and troubleshooting.
  • •Strong understanding of data quality dimensions (completeness, accuracy, consistency, timeliness, validity) and data observability/monitoring approaches.
  • •Hands-on quality assurance mindset for data and data systems, including test design, data validation, edge-case identification, and systematic issue investigation.
  • •Strong understanding of the data incident lifecycle (detection, triage, investigation, root cause, remediation, prevention).
  • •Good understanding of data lifecycles and pipelines, including ETL and batch/streaming approaches, plus comfort working in terminal/Linux and reading logs.
Experience:5+ yearsDataOpsData qualityData engineeringData analyticsFinancial markets
Skills:OwnershipProblem-solvingCollaborationTechnical communicationQuality mindset
Languages:English
Tech Stack:PythonBashLinuxJSONYAMLGitGitHubGitLabJenkinsCI/CDETLKafkaOpenMetadataDbtRegular expressions

Company Brief

TradingView
Provides a web-based charting platform, market data and social network for traders and investors, offering charting libraries, trading integrations, and analytics used by retail traders, brokerages and fintech firms worldwide.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Funding: Series C
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 2.9
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