Data engineer in product analytics

Meta; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Meta ищет Data Engineer для разработки и управления архитектурой данных в рамках масштабных проектов across Facebook, Instagram и других сервисов. Вы будете работать над сбором, хранением и обработкой данных, проектами по визуализации и обеспечению качества данных.

Кандидат должен иметь сильный опыт работы с SQL, ETL и моделированием данных, владение Python или подобным языком, а также понимание аспектов безопасности и governance данных.

Qualifications

• : Bachelor’s degree в области Computer Science, Computer Engineering или эквивалент и не менее 7 лет опыта работы с данными.
• : Опыт работы не менее 7 лет с SQL, ETL, моделированием данных и хотя бы одним языком программирования (например Python, C++, C#, Scala).
• : Преимущества: развитие навыков AI, внедрение ответственных практик AI, знание современных AI-технологий.

Responsibilities

• : Разрабатывать и владеть архитектурой данных для крупных проектов.
• : Улучшать сбор и обработку логирования, работать с инфраструктурой данных.
• : Сотрудничать с инженерами, PM и учёными данных для понимания потребностей и визуализации инсайтов.
• : Определять SLA и управлять качеством данных, обеспечивать безопасность и governance.
• : Разрабатывать и внедрять сложные модели данных и визуализации для разных продуктов.
• : Решать задачи интеграции данных с использованием эффективных ETL-процессов.

Skills

SQL

ETL

Data modeling

Python

Education

Bachelor's degree in CS/Engineering or equivalent

Master's or PhD in STEM (advantage)

Tools

Spark

Job description

Описание

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads).

Задачи

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way Define and manage Service Level Agreements for all data sets in allocated areas of ownership 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 Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 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 Mentor team members by giving/receiving actionable feedback

Требования

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Будет плюсом: Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies; Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews); Master's or Ph.D degree in a STEM field; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Условия

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.