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Software Engineer, Data Foundations - Job Opportunity at Google

Dublin, Ireland
Full-time
Mid-level
Posted: January 20, 2025
On-site
EUR 85,000 - 130,000 per year based on Dublin market rates for Google engineering roles

Benefits

Comprehensive health coverage typical of Google's premier benefits package
Professional development opportunities with internal mobility focus
Competitive paid time off and work-life balance programs
Industry-leading retirement benefits and equity compensation
Access to Google's extensive learning and development resources

Key Responsibilities

Design and develop scalable data processing systems with direct impact on Google's core infrastructure
Lead technical design reviews and architectural decisions for critical data foundation components
Drive code quality through peer review and best practice implementation
Create and maintain technical documentation for enterprise-scale systems
Debug and optimize complex distributed systems at massive scale

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

2 years of software development experience (or 1 year with advanced degree)

Required Skills

Experience with C/C++, Go or any backend language 2 years of experience with data structures or algorithms Experience building and maintaining large-scale data processing systems Experience developing accessible technologies
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Sauge AI Market Intelligence

Industry Trends

Data infrastructure roles are increasingly critical as companies focus on AI/ML capabilities and data governance Growing emphasis on scalable, efficient data processing systems to support real-time analytics and machine learning workloads Increased demand for engineers who can bridge traditional backend development with modern data architecture patterns

Role Significance

Typically part of a 6-8 person core infrastructure team, collaborating with multiple stakeholder teams across Google
Mid to senior-level individual contributor role with significant technical ownership and architectural influence

Key Projects

Design and implementation of foundational data processing systems Architecture modernization initiatives for scalability Cross-product infrastructure optimization projects

Success Factors

Deep understanding of distributed systems and data processing at scale Strong algorithmic problem-solving abilities Excellent collaboration skills for cross-functional projects Ability to balance technical debt with feature delivery

Market Demand

Very high demand, particularly in Dublin's growing tech hub where data engineering talents are crucial for multinational tech operations

Important Skills

Critical Skills

Distributed systems expertise - essential for Google-scale infrastructure Data structures and algorithms - fundamental to efficient system design Backend development proficiency - core requirement for infrastructure work

Beneficial Skills

Machine learning systems knowledge Performance optimization expertise Cloud infrastructure experience

Unique Aspects

Opportunity to work on systems at unprecedented scale
Access to Google's cutting-edge internal tools and technologies
Strong focus on data infrastructure that powers next-generation AI/ML systems

Career Growth

2-3 years for senior level, 4-5 years for staff engineer track with demonstrated impact

Potential Next Roles

Senior Software Engineer Technical Lead Staff Engineer Data Infrastructure Architect

Company Overview

Google

Google maintains its position as a leading global technology company with significant investments in data infrastructure and AI/ML capabilities

Industry leader in large-scale distributed systems and data processing technologies
Dublin office serves as a strategic European hub with significant engineering presence
Engineering-driven culture with emphasis on technical excellence and innovation
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