Data Engineer

We’re a passionate, collaborative, and professionally diverse Data Platform team at AppsFlyer, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.

Now, we’re evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.

This is a brand-new challenge, and we’re looking for an exceptional Data Engineer to join us.

If you’re ready to pioneer the future of data engineering with AI, we’d love to have you on board the rocketship

What You’ll Do

• Architect metadata-aware data platforms that support scalable and observable pipelines
• Create and evolve knowledge graphs, schemas, and lineage tracking systems
• Drive the team’s expertise in data modeling, schema evolution, and privacy-first engineering
• Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
• Build and maintain data foundations for agentic AI systems.
• Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
• Collaborate with internal teams across platform, product, and data domains.
  
  

• 4+ years of hands-on experience in backend, data engineering, or data platform engineering roles
• Deep knowledge of data modeling, pipeline architecture, and large-scale data operations
• Familiarity with metadata frameworks (DataHub, OpenMetadata, DataPlex, etc)
• Proficiency in public cloud environments such as AWS and GCP, working with tools like Athena, EMR, BigQuery, Vertex AI
• Familiarity with data governance, schema evolution, and privacy-first principles
• Solid backend engineering foundations, with the ability to design robust services and APIs
• A collaborative mindset, curiosity, and drive to learn and lead
  
  

• Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.)
• Recommended by an AppsFlyer employee