2 months ago
London, United KingdomMid Level
Responsibilities
- Collaborate with engineers, product managers, and data scientists to understand data needs and communicate meaningful insights.
- Design, build, and launch sophisticated data models and visualizations supporting multiple products and domains.
- Define and manage Service Level Agreements for data sets within assigned areas of ownership.
- Solve data integration problems using ETL patterns, frameworks, query techniques, and structured and unstructured data sources.
- Improve logging and optimize production processes, pipelines, dashboards, frameworks, and systems.
- Optimize complex code using advanced algorithmic concepts.
- Influence product and cross-functional teams to identify data opportunities and drive impact.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent.
- At least 2 years of experience with data-focused work, such as data analysis, data science, or data engineering.
- At least 2 years of experience with SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
- Preferred: experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
- Preferred: experience integrating AI tools to optimize or redesign workflows and deliver measurable impact.
- Preferred: ongoing AI skill development, including prompt/context engineering and agent orchestration.
- Preferred: master’s or Ph.D. degree in a STEM field.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.