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Data Engineer, Product Analytics - Job Opportunity at Meta

Dublin, Ireland
Full-time
Mid-level
Posted: January 31, 2025
On-site
EUR 75,000 - 115,000 per year based on Dublin market rates for mid-level data engineers at major tech companies

Benefits

Competitive compensation package with bonus potential
Equity opportunities in a leading tech company
Comprehensive healthcare benefits
Professional development and learning resources
Access to cutting-edge technology and tools
Work on products impacting billions of users
Career growth opportunities within global teams

Key Responsibilities

Design and implement scalable data solutions for 3B+ user base
Build and optimize data models and ETL pipelines
Drive product development through data-driven insights
Ensure data security and quality standards
Collaborate with cross-functional teams on technical solutions
Create sophisticated visualizations and analytics frameworks
Define and manage Service Level Agreements for datasets
Optimize existing production processes and code efficiency

Requirements

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

Experience

2+ years of experience where the primary responsibility involves working with data

Required Skills

SQL ETL Data modeling Programming (Python, C++, C#, Scala or others) Data analysis Communication skills Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

The shift towards product analytics reflects the increasing importance of data-driven decision making in tech companies Growing demand for engineers who can bridge technical implementation with business strategy Increased focus on real-time analytics and scalable data solutions for billion-user platforms Rising importance of privacy-conscious data engineering practices in response to global regulations

Role Significance

Typically part of a 5-8 person product analytics team within larger data engineering organization
Mid-level position with significant technical ownership and strategic input opportunities

Key Projects

Large-scale data pipeline optimization for product analytics Cross-platform data integration initiatives Real-time analytics system development Data quality and governance frameworks

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex data concepts into actionable insights Experience with large-scale data systems and optimization Strong communication skills for cross-functional collaboration Proactive problem-solving approach with focus on scalability

Market Demand

Very high demand, particularly in Dublin's growing tech hub, with Meta competing against other major tech companies for talent in the region

Important Skills

Critical Skills

Advanced SQL and data modeling for large-scale systems ETL pipeline development and optimization Programming proficiency in data-oriented languages Understanding of data security and privacy requirements

Beneficial Skills

Knowledge of AR/VR data analytics Experience with real-time analytics systems Familiarity with privacy regulations Machine learning pipeline experience

Unique Aspects

Opportunity to work on products affecting billions of users
Access to some of the world's largest datasets
Involvement in cutting-edge AR/VR initiatives
Strong emphasis on data-driven product development

Career Growth

2-3 years in role with clear progression path based on impact and technical expertise

Potential Next Roles

Senior Data Engineer Lead Data Engineer Data Engineering Manager Technical Product Manager - Analytics Data Architecture Lead

Company Overview

Meta

Meta (formerly Facebook) is a leading global technology company focusing on social connection and virtual reality futures

One of the world's largest tech companies with significant market influence and resources
Dublin office serves as a key European headquarters with significant technical operations
Fast-paced, innovation-focused environment with emphasis on impact and scale
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