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
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
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
Master’s in a STEM field
Experience working with TB to PB scale data.