Data Engineer Analytics London 2024

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.

Responsibilities

  • 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

Minimum qualifications

  • 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).

Preferred qualifications

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Rolling deadline