![Meta](https://media.trabajo.org/img/noimg.jpg)
High Salary: Data Engineer, Product Analytics
6 days ago
Dublin, Ireland • London, UK • Full Time
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). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive 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 a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering Responsibilities:
1. Guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions.
2. Refine our systems, design logging solutions, and create scalable data models.
3. Ensure data security and quality, and suggest architecture and development approaches to address complex analytical problems.
Product Leadership:
1. Use data to shape product development, identify new opportunities, and tackle upcoming challenges.
2. Ensure our products add value for users and businesses by prioritizing projects and driving innovative solutions.
Communication and Influence:
1. Present data-driven stories and influence partners using clear insights and recommendations.
2. Build credibility through structure and clarity, becoming a trusted strategic partner.
Key Responsibilities:
1. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.
2. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
4. Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, and query techniques.
5. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
6. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
7. Influence product and cross-functional teams to identify data opportunities to drive impact.
Minimum Qualifications:
1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
2. 2+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer).
3. 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).
Preferred Qualifications:
1. Master's or Ph.D. degree in a STEM field.
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.
Equal Employment Opportunity and Affirmative Action: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as a protected veteran, or disability.
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