Meta AR/VR Job | Data Engineer, Analytics

Job(岗位): Data Engineer, Analytics

Type(岗位类型): Data Engineering

Citys(岗位城市): London, UK

Date(发布日期): 2023-10-9


At Reality Labs, we are helping more people around the world come together and connect through world-class AR and VR hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, Meta is committed to driving the state of the art forward through relentless innovation.

Join our MetaWorks team to help shape the future of work in VR and AR and contribute to establish and scale innovative products that’ll change the way we work!

As a highly collaborative organisation, our data engineers work cross-functionally with software engineering, data science, and product management to optimise growth, strategy, and experience for our users.

In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you’ll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.


Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy

Experience with SQL, ETL, data modeling and at least one programming language (e.g., Python, C++, C#, Scala).


Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

Define and manage SLA for all data sets in allocated areas of ownership

Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

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

Improve logging

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

Additional Requirements(额外要求)

Master’s in a STEM field

Experience working with TB to PB scale data.