Senior Data Engineer
On-siteDublin, Leinster, Ireland
Job Summary
Design and lead the implementation and optimization of data models and pipelines for product telemetry, logs, and alerts. Implement data management standards for schema evolution, versioning, and backfill capabilities while enforcing SLAs and data lifecycle policies. Develop data quality checks, observability frameworks, and alerting strategies in collaboration with the Data Platform Architect. Champion robust RCA and remediation strategies, manage data cataloguing and metadata requirements, and contribute to architectural documentation. Raise engineering quality through design reviews and best practice sharing with cross-functional teams.
Required Qualifications
- 6-8 years of progressively greater responsibilities in the areas of data engineering and architecture
- ideally with a focus on product data (telemetry, logs, etc.)
- Extensive experience in data architecture and data modeling
- database and pipeline performance optimization
- standardization of design and implementation
- Expert in the design of data flows, pipelines, and data quality and observability systems
- incorporating monitoring and alerting frameworks and policies
- Experienced in data cataloguing, metadata and lineage
- working with data stewards to maintain these assets
- Extensive experience incorporating devops standards (CI/CD, testing frameworks, etc.)
- integrating with software engineering processes
- Experience working within a data governance framework
- managing data priorities across multiple stakeholders
- Strong communication and collaboration
- Hybrid: Employees within 30 commutable miles of an F5 office are required to work from the office a minimum of 30 business days per quarter
Desired Qualifications
- Experience with dbt
- Databricks (and Unity Catalog)
- git
- AWS
- Experience with ML data requirements
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