Location
London

Hours
Full Time

Salary
Negotiable

About the Role
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products across our entire family of applications including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. Your technical skills and analytical mindset will be utilized to design and build large-scale data sets that help craft experiences for billions of people and hundreds of millions of businesses worldwide. You will collaborate with software engineering, data science, and product management teams to design and build scalable data solutions that optimize growth, strategy, and user experience for over 3 billion users and our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you become part of a data engineering community dedicated to skill development and career growth.

Key responsibilities include guiding teams by building optimal data artifacts such as datasets and visualizations to address key questions, refining systems, designing logging solutions, and creating scalable data models. You will ensure data security and quality with a focus on efficiency, suggest architecture and development approaches, and establish data management standards to address complex analytical problems.

In product leadership, you will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You will prioritize projects and drive innovative solutions to ensure our products add value for users and businesses.

Communication and influence are critical as you will tell data-driven stories, convince and influence partners with clear insights and recommendations, and build credibility as a trusted strategic partner.

Additional responsibilities include conceptualizing and owning data architecture for multiple large-scale projects, creating frameworks to improve logging data efficacy, collaborating with cross-functional teams to understand data needs and visually represent key insights, defining and managing Service Level Agreements for data sets, implementing security models based on privacy requirements, addressing data quality issues, designing and launching sophisticated data models and visualizations, solving complex data integration problems using optimal ETL patterns, assisting in production process ownership, optimizing pipelines and systems, influencing product and cross-functional teams to identify data opportunities, and mentoring team members through actionable feedback.

Experience
- 7+ years of experience primarily working with data in roles such as 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).
- Demonstrated ongoing AI skill development including prompt/context engineering and agent orchestration.
- Experience adhering to and implementing responsible, ethical AI practices such as risk assessment, bias mitigation, and quality reviews.
- Proven ability to integrate AI tools to optimize and redesign workflows, driving measurable impact such as efficiency gains and quality improvements.

About you
- Strong analytical mindset with excellent communication skills to tell compelling data-driven stories.
- Ability to collaborate effectively with engineers, product managers, and data scientists.
- Strategic thinker with the ability to influence and prioritize projects.
- Passionate about skill development and mentoring others.
- Committed to data security, quality, and governance standards.

Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent experience.
- Master's or Ph.D. degree in a STEM field is preferred.