Senior Data Engineer

F5
Dublin
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6-8 yearsSkills: ["Communication","Collaboration"]

Design and build data models and pipelines for product telemetry, logs, and alerts within the Product Data Group. Lead implementation and optimization aligned to data architecture, security, access standards, and data management practices such as schema evolution, versioning, backfill, and retry. Drive testing, monitoring, alerting, and runbook-driven operations, enforce SLAs and data lifecycle management, and improve observability and data quality while supporting data cataloging and documentation.

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FursaFursa
F5
F5
2 months 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: 19 days agoStatus: Live

Job Summary

Design and build data models and pipelines for product telemetry, logs, and alerts within the Product Data Group. Lead implementation and optimization aligned to data architecture, security, access standards, and data management practices such as schema evolution, versioning, backfill, and retry. Drive testing, monitoring, alerting, and runbook-driven operations, enforce SLAs and data lifecycle management, and improve observability and data quality while supporting data cataloging and documentation.
Location: Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and lead implementation and optimization of data models and pipelines for multiple uses, aligned to data architecture, security, and access standards.
  • •Lead data management standards for schema evolution, versioning, backfill, and retry capabilities.
  • •Design and manage best practices for testing, monitoring, alerting, and runbook-driven operations; champion RCA and remediation strategies.
  • •Implement and enforce SLAs and data lifecycle management, including standards for data quality checks and production observability.
  • •Contribute to documentation, guide data cataloging and metadata requirements, and collaborate across teams on event design, source systems, and data contracts.

Key Requirements

  • •6-8 years in data engineering and architecture, ideally focused on product data like telemetry and logs.
  • •Extensive experience in data architecture, data modeling, and database/pipeline performance optimization and standardization.
  • •Expertise designing data flows, pipelines, and data quality/observability systems with monitoring and alerting frameworks.
  • •Experience with data cataloging, metadata, and lineage, and working with data stewards.
  • •Strong experience with DevOps standards (CI/CD, testing frameworks) integrated into software engineering processes.
Experience:6-8 yearsData engineeringProduct dataData architectureTelemetryLogsData governance
Skills:CommunicationCollaboration
Tech Stack:DbtDatabricksUnity CatalogGitAWSCI/CDMonitoringAlertingTesting frameworksObservabilityData quality

Company Brief

F5
Provides application delivery networking, load balancing, and security solutions for on-premises and cloud environments, helping organizations optimize, secure, and scale applications and APIs across multi-cloud infrastructures.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 1996
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn