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Data Engineer, Product Analytics

Meta· Analytics
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Hybrid (London, UK)Full-timePosted 4d ago

About the role

Data Engineer position at Meta focusing on building scalable data solutions for user and business products across Meta’s applications. Collaborate with software engineering, data science, and product management to design data architectures, improve logging, governance, and deliver data-driven insights to shape product development and strategy at scale.

Responsibilities

  • Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve data integration problems using ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
  • 7+ years of experience with data roles (data analyst, data scientist, data engineer, or similar)
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala)

Skills

Required:Data architectureLogging data frameworksData visualizationData governance and securityETL and data integration

Benefits

  • Not specified in the provided description
Last updated Oct 23, 2026. Interested? Apply on the company site.

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