Data Engineer, Analytics

London, UK

Meta

Giving people the power to build community and bring the world closer together

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Joining an existing team, this role is in the Integrity & Support Data Engineering team, focusing on keeping the platform safe from harms like spam, compromised accounts, and scripted accounts. It will involve working with a number of different product teams, helping to derive new metrics around our integrity actions and to improving the overall data maturity.

You will enjoy the role if you:
- Are interested in learning about analytics for ML, and collaborating closely with ML engineers
- Would like to work closely with engineers and XFNs in an area with company-wide impact
- Enjoy building scalable data foundationsData Engineer, Analytics Responsibilities
  • Build and maintain data artifacts (data models, pipelines and dashboards) to enable data driven decision making.
  • Work with the XFNs to understand business and product strategy to develop the data strategy.
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Contribute to Meta-wide projects to improve product development and data engineering efficiency
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 3+ years of work experience in data engineering (a minimum of 1+ years with a Ph.D)
  • 3+ years experience in the data warehouse space.
  • 3+ years experience in custom ETL design, implementation and maintenance.
  • 3+ years experience and practical application of Python
  • 3+ years experience with schema design and dimensional data modeling.
  • 3+ years experience with SQL.
  • Experience with data architecture design and data pipeline optimization.
Preferred Qualifications
  • Master's or Ph.D degree in a STEM field.
  • Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
  • Experience working with TB to PB scale data.
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 to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Business Intelligence Computer Science Data governance Data quality Data strategy Data visualization Data warehouse Data Warehousing Engineering ETL Machine Learning Physics Pipelines Privacy Python SQL STEM VR

Perks/benefits: Career development

Region: Europe
Country: United Kingdom

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