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Data Engineer, Product Analytics - Job Opportunity at Meta

London, GB
Full-time
Senior
Posted: May 3, 2025
Hybrid
GBP 95,000 - 150,000 per year, with significant equity compensation

Benefits

Comprehensive benefits package aligned with Meta's industry-leading standards
Career development and learning opportunities through Meta's extensive training programs
Access to cutting-edge technology and development resources
Competitive equity compensation structure typical of major tech companies
Wellness and work-life balance programs
Global mobility opportunities across Meta's offices

Key Responsibilities

Lead data architecture design for multi-billion user platforms
Drive product analytics strategy across Meta's family of applications
Develop and maintain large-scale data infrastructure systems
Implement data security and governance frameworks
Create advanced data models and visualization solutions
Guide cross-functional teams on data-driven decision making
Optimize and scale data pipeline efficiency
Establish data quality standards and monitoring systems

Requirements

Education

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

Experience

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

Required Skills

SQL ETL Data modeling Python, C++, C#, or Scala Data architecture design Pipeline optimization System scaling Cross-functional collaboration Technical leadership
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Industry Trends

Increasing focus on privacy-first data engineering in response to global regulations Growing demand for real-time analytics capabilities in social media platforms Shift towards distributed data architectures supporting multi-platform environments Rising importance of AI/ML integration in data engineering workflows

Role Significance

Typically part of a 5-8 person specialized data engineering team, collaborating with 20-30 cross-functional team members
Senior-level position with significant technical decision-making authority and product impact

Key Projects

Multi-platform data integration initiatives Privacy-compliant data architecture development Real-time analytics system optimization Cross-platform user behavior analysis frameworks

Success Factors

Deep understanding of distributed systems and big data architectures Strong product mindset with ability to translate business requirements into technical solutions Excellence in stakeholder management and technical communication Proven track record in scalable data solution design

Market Demand

Very High - Critical role in Meta's core data infrastructure with strong market competition from other tech giants

Important Skills

Critical Skills

Advanced data modeling for multi-billion user scale Privacy-aware data architecture design Cross-platform data integration expertise Real-time analytics system optimization

Beneficial Skills

Machine learning integration experience Distributed systems knowledge Multi-region data compliance understanding Meta-verse technology familiarity

Unique Aspects

Opportunity to work on unprecedented scale of data (billions of users)
Direct impact on products used by a significant portion of the global population
Access to cutting-edge data infrastructure and tools
Involvement in meta-verse development and next-generation social technologies

Career Growth

2-3 years typical progression timeline, accelerated advancement possible based on impact

Potential Next Roles

Lead Data Engineer Data Engineering Manager Technical Product Manager Data Architecture Lead Principal Engineer

Company Overview

Meta

Meta leads global social technology innovation with multiple billion-user platforms and ambitious expansion into metaverse technologies

Top-tier tech company with significant market influence and technical innovation leadership
Major European hub with strategic importance for global operations
Fast-paced, innovation-focused environment with emphasis on technical excellence and scalable impact
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