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, crafting 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 significant scale. 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 including datasets and visualizations to address key questions
- Refining systems, designing logging solutions, and creating scalable data models
- Ensuring data security, quality, and efficiency by suggesting architecture and development approaches and data management standards
- Using data to shape product development, identify new opportunities, and tackle upcoming challenges
- Prioritizing projects and driving innovative solutions to add value for users and businesses
- Communicating data-driven stories to influence and build credibility with partners
- Conceptualizing and owning data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs
- Creating and contributing to frameworks that improve logging data efficacy and resolving data infrastructure issues
- Collaborating with engineers, product managers, and data scientists to understand data needs and represent key insights
- Defining and managing Service Level Agreements for data sets within ownership areas
- Implementing security models based on privacy requirements and evolving governance processes
- Designing, building, and launching collections of sophisticated data models and visualizations supporting multiple use cases
- Solving challenging data integration problems using optimal ETL patterns and sourcing from structured and unstructured data
- Assisting in owning and optimizing existing production processes and complex code
- Optimizing pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
- Influencing product and cross-functional teams to identify data opportunities to drive impact
- Mentoring team members by providing actionable feedback

Experience
- 4+ years of experience working primarily with data in roles such as data analyst, data scientist, or data engineer
- 4+ years (or 2+ years with a Ph.D.) experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala)
- Experience adhering to and implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality reviews
- Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact such as efficiency gains and quality improvements
- Ongoing AI skill development including prompt/context engineering, agent orchestration, and staying current with emerging AI technologies

About you
Analytical and collaborative professional with strong communication skills who can influence and build credibility through clear insights and recommendations. Passionate about solving complex data challenges at scale and mentoring others. Able to balance technical expertise with product leadership to drive impactful data solutions.

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 preferred