Data Engineer, Product Analytics

JobCubby; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Meta in London is seeking a Data Engineer to design and build large-scale data architectures and models supporting product development and business strategy across Meta applications.

You will collaborate with software engineers, data scientists, and product managers to optimize data pipelines, ensure quality, and mentor team members in a data-driven environment.

Qualifications

• Bachelor's degree in a technical field and 4+ years of data-focused experience.
• Proficiency in SQL, ETL, data modeling, and at least one programming language (Python or C++).

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and cost-benefit tradeoffs.
• Create and contribute to logging data frameworks and scalable data models.
• Collaborate with engineers, data scientists, product managers to understand data needs and present insights.
• Define and manage SLAs for data sets and ownership areas.
• Implement security models based on privacy requirements and governance processes.
• Design, build, and launch complex data models and visualizations for multiple use cases.
• Address data integration challenges using ETL patterns and multiple data sources.
• Mentor team members with actionable feedback.

Skills

SQL

ETL

Data Modeling

Python

C++

C#

Scala

Data Architecture

Data Engineering

Data Visualization

Logging Solutions

Data Security

Data Governance

AI Integration

Product Analytics

Algorithmic Concepts

Education

Bachelor's degree in Computer Science or related

Tools

Python

C++

C#

Scala

SQL

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleYou will design and build large-scale data architectures and models to support product development and business strategy across Meta's applications. Additionally, you will collaborate with cross-functional teams to optimize data pipelines, ensure data quality, and mentor team members.SQLETLData ModelingPythonC++C#ScalaData ArchitectureData EngineeringData VisualizationLogging SolutionsData SecurityData GovernanceAlgorithmic ConceptsProduct AnalyticsAI Integration## RequirementsCandidates must have a bachelor's degree in a technical field and at least 4 years of experience working with data. Proficiency in SQL, ETL processes, data modeling, and at least one programming language like Python or C++ is required.## Full descriptionAs 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). Your technical skills and analytical mindset will be utilized designing and building large-scale data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at significant scale. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Responsibilities* 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 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 providing actionable feedbackMinimum Qualifications* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent* 4+ 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* 4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)Preferred Qualifications* 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)