Data Engineer, Product Analytics

Meta; City Of London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Meta in the United Kingdom is seeking a Data Engineer to help shape data solutions across our family of apps (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). You will design and build large-scale datasets to enable growth, user experiences, and business insights.

You will work with software engineers, data scientists and product managers to create scalable architectures, optimize pipelines, and ensure data quality and security.

Qualifications

• Bachelor's degree in CS or related field.
• 4+ years building data pipelines and data platforms.
• Experience with SQL, ETL, data modeling.
• Programming in Python, Scala, or similar.
• Strong communication with cross-functional teams.

Responsibilities

• Own data architecture for large-scale projects.
• Improve logging data frameworks and resolve issues.
• Collaborate with engineers, PMs, and data scientists.
• Define and manage SLAs for datasets.
• Implement privacy/compliance safeguards.
• Design data models and visualizations for multiple use cases.
• Optimize ETL pipelines and dashboards.
• Mentor team members.

Skills

Data architecture

Logging framework design

Cross-functional collaboration

SLA management

Data security & privacy

Data modeling

ETL patterns

Production optimization

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

Python

Airflow

Spark

Job description

Summary

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building large-scale data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at significant scale. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.

Required Skills

Data Engineer, Product Analytics Responsibilities:

1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. 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
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by providing actionable feedback

Minimum Qualifications

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
2. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
3. 4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

Preferred Qualifications:

1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
4. Master's or Ph.D degree in a STEM field

Industry: Internet