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Senior Data Engineer

Dublin

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Employment
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Apply at Ffive

What you’ll bring

All qualifications

Preferred experience

  • 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.)
  • Experience with dbt, Databricks (and Unity Catalog) git, AWS
  • Experience working within a data governance framework and managing data priorities across multiple stakeholders
  • Experience with ML data requirements
Qualification wording
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.)
Experience with dbt, Databricks (and Unity Catalog) git, AWS
Experience working within a data governance framework and managing data priorities across multiple stakeholders
Experience with ML data requirements

Tools in this posting

  • Databricks
  • dbt
  • AWS
Source — Tool mentions in context
Bonus: - Experience with dbt, Databricks (and Unity Catalog) git, AWS - Experience with ML data requirements

Job description

View original posting ↗

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

Overview

The Senior Data Engineer in the Product Data Group plays a key role in designing and building data models and pipelines for the use of our product data (telemetry, logs, alerts, etc.). Aspects of this role include:

  • Participate in the design and lead the implementation and optimization of data models and pipelines for multiple uses; understand and implement the data architecture and security and access standards used within the Product organization
  • Understand and lead the implementation of data management standards for schema evolution, versioning, backfill and retry capabilities, etc.
  • Design and manage the adoption of best practices in testing, monitoring, alerting and runbook-driven operations for pipelines; in collaboration with the Data Platform Architect, champion the development and adoption of robust RCA and remediation strategies
  • Implement and enforce SLAs and data lifecycle management; Develop standards for data quality checks, observability, and alerting for production data systems
  • Contribute to technical and architectural documentation; provide guidance on data cataloguing and metadata requirements to data owners
  • Contribute to design reviews, raising engineering quality, and sharing best practices; Collaborate deeply with cross functional teams to align event design, source systems, and data contracts

Desired Skills

While all these skills are important, it isn’t critical that they all be met exactly. If you think you’re a fit for this role, please apply!

  • Be kind
  • 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, and 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, and in working with data stewards to maintain these assets
  • Extensive experience incorporating devops standards (CI/CD, testing frameworks, etc.) and integrating with software engineering processes
  • Experience working within a data governance framework and managing data priorities across multiple stakeholders
  • Strong communication and collaboration

Bonus:

  • Experience with dbt, Databricks (and Unity Catalog) git, AWS
  • Experience with ML data requirements

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on ffive.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Pay

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Location & working pattern

Dublin

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Status in our records
Active
First seen by us
Jul 15, 2026
Recorded sightings
169
Last seen by us
Oct 9, 2026

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