Data Engineer

Summary: 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: 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. Required Skills: Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. 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 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different, 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: 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., 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. 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
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback

products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback Minimum Qualifications: Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 13. 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 14. 4+ years of experience (or a minimum of 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: Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field Industry: Internet, 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

13. 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
14. 4+ years of experience (or a minimum of 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:

Preferred Qualifications:

15. Master's or Ph.D degree in a STEM field, support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback Minimum Qualifications: Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 13. 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 14. 4+ years of experience (or a minimum of 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: Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field Industry: Internet Data Engineer, Product Analytics United Kingdom GBR None None London Meta

Industry: Internet seo.joblisting.1292D7BED7C54C78B9C7964E6671A5E4 False Meta 51.51509532163742::-0.11589239766081874::52673 51.51509532163742::-0.11589239766081874::52673 https://de.jobsyn.org/1292D7BED7C54C78B9C7964E6671A5E410 London, GBR London, GBR 1D751Z-air-force 62E1T-air-force 3D052-air-force 3G0X1-air-force 62E3E-air-force 62E1H-air-force 62E1B-air-force 16K3D-air-force 62E4P-air-force 8846-marines 62E3V-air-force 62E1F-air-force 16K1S-air-force 1D751R-air-force 62E1E-air-force 62E3G-air-force 9891-navy 1D771D-air-force 62E1G-air-force 62E4Z-air-force 51R-army 1D700-air-force 2M0X2-air-force 170D-army 1D731K-air-force 1D731R-air-force FCA-navy 1D731B-air-force 16K3E-air-force 62E3Q-air-force 62E1V-air-force 62E1P-air-force 1D771K-air-force 3G000-air-force 0620-marines 1D751K-air-force 8858-marines 3D032-air-force 3D0X4-air-force 62E4-air-force 62E3H-air-force 255S-army 5707-navy 3G031-air-force 62E1I-air-force 1D711A-air-force 255Z-army 16K1E-air-force 62E1C-air-force 62E3S-air-force 0640-marines 16K4E-air-force 70D-army 6694-marines 1D711D-air-force 62E4Y-air-force 3D190-air-force IS-coast-guard 1D711-air-force 1D751A-air-force 1D711Z-air-force 16K4M-air-force 62E4W-air-force 1D711R-air-force 62E3Z-air-force 1D711K-air-force 1D751E-air-force 16K4D-air-force 8834-marines 9740-navy 1D7X1-air-force 62EXC-air-force 62E3N-air-force 1D731A-air-force FC-navy 62E3I-air-force 8K000-air-force 1D771B-air-force 3D012-air-force 3D132-air-force 1D731D-air-force 62E1Z-air-force IT-coast-guard 9651-navy 62E1Q-air-force 62E1W-air-force 62E3C-air-force 51A-army 2M052-air-force 255A-army 1D771A-air-force 3D034-air-force 8848-marines 3D152-air-force 9512-navy 3D1X2-air-force 2659-marines 62E1A-air-force 3D112-air-force 1D791-air-force 1D731Z-air-force 184-navy 16K3M-air-force 3D014-air-force 26B-army 1D711E-air-force 2653-marines 3G091-air-force 2M032-air-force 26A-army 26Z-army 62E3B-air-force 1D771E-air-force 1D731E-air-force 1D751B-air-force 62E1N-air-force 0679-marines 62E3M-air-force 2M072-air-force 3D100-air-force 62E1S-air-force 62E3Y-air-force 1D771-air-force 62E4M-air-force CTM-navy 1D751D-air-force 62E4V-air-force 3G011-air-force 16K1D-air-force IT-navy 16K4S-air-force 62E4N-air-force ELC-coast-guard 2M012-air-force 3D074-air-force 62E4R-air-force 1D751-air-force 1D771Z-air-force 62E4T-air-force 002775-navy 0673-marines STG-navy 62E3T-air-force 62E4S-air-force 16K1M-air-force 1D711B-air-force 3D072-air-force 784-navy 62E1R-air-force ET-coast-guard 62E3R-air-force 3D0X2-air-force 8825-marines 62E3W-air-force 62E3F-air-force 16K3S-air-force 3D172-air-force 62EX-air-force 62E1Y-air-force 3G051-air-force 62E1M-air-force 62E3A-air-force 3G071-air-force 1D731-air-force, **Summary:** 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