Data Engineer - Generative AI & Platform

About the role

Visa is hiring a Data Engineer who designs, implements and improves software and data systems in the fintech sector. The engineer spends most of their time coding, working with data and modern tools including AI-assisted development, cloud services and automation frameworks, and collaborates with product managers, designers, data scientists, QA, operations and compliance.

Key responsibilities

• Design, develop and maintain scalable data pipelines, integrations, APIs and platform services for Digital Marketing and Engagement solutions
• Build and optimise batch, streaming and event-driven data processing workflows
• Develop reusable data assets, services and platform capabilities, ensuring data quality, governance, security and reliability
• Build and integrate AI-powered applications using Large Language Models, RAG, semantic search and vector retrieval
• Integrate AI models with enterprise data sources, APIs and business applications, and monitor token consumption, latency and costs
• Apply AI guardrails, governance controls and responsible AI practices, and support observability and telemetry for AI workloads
• Use AI-assisted development tools and coding agents across development, testing, debugging and documentation
• Evaluate emerging technologies and contribute to innovation initiatives

Required profile

• Bachelor's degree, or 3+ years of relevant work experience
• 2+ years of work experience
• Experience building data pipelines, ETL/ELT workflows and data processing applications
• Experience with structured and unstructured datasets at scale, and with distributed processing, event-driven or streaming architectures
• Experience with cloud-native development, CI/CD pipelines, automated testing and production support
• Experience building or integrating AI applications, and understanding of LLMs, prompt engineering, RAG, embeddings and vector search
• Experience with agentic AI solutions and frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI or AutoGen
• Experience with Databricks, Snowflake, BigQuery, Synapse, Spark, Kubernetes, Docker and IaC
• Experience in Digital Marketing, Customer Engagement, Personalization, Analytics, Loyalty or Digital Products

Required skills

• Programming in Python, Java, SQL or similar
• AI-assisted development tools such as GitHub Copilot, Copilot Agents, Claude Code, Cursor or Windsurf
• Vector databases, knowledge graphs, enterprise search and semantic retrieval
• LLMOps, AgentOps and AI platform engineering practices