Senior Data Engineer

F5; Dublin; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading technology firm in Cork is seeking a Senior Data Engineer to design and build data models and pipelines. This role requires 6-8 years of experience in data engineering and architecture, with extensive knowledge of data quality systems and performance optimization. The successful candidate will collaborate with cross-functional teams to implement best practices and ensure data integrity. Familiarity with tools like dbt, Databricks, and AWS is advantageous, while strong communication skills are essential.

Qualifications

• 6-8 years of experience in data engineering and architecture, focusing on product data.
• Extensive experience in optimizing database performance and standardizing design.
• Expert in designing data flows and implementing data quality systems.

Responsabilités

• Design and build data models and pipelines for product data.
• Implement data management standards for schema evolution and lifecycle.
• Champion the development of robust monitoring and alerting strategies.

Connaissances

Data engineering

Data architecture

Data modeling

Data quality

Collaboration

Outils

dbt

Databricks

AWS

git

Description du poste

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

• 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.

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 [e-mail].