Data Engineer for Common Capabilities (41996)

• Strong AI / GenAI capability
• Hands-on experience in building LLM-powered automation for engineering workflows
• Experience with AI-assisted review flows integrated into CI/CD pipelines

Nice to have:

• Familiarity with Data Reference Architecture or data product models
• Knowledge of Airflow, Snowflake, Iceberg, or similar platforms
• Exposure to data governance, metadata, and lineage concepts
• Experience in banking or regulated environments

• Build and evolve workflows using LLM/agent assistance to improve developer productivity in data pipeline delivery.
• Implement AI-driven schema review and governance as part of automation.
• Drive AI-supported test automation including end-to-end test generation and validation.
• Develop data packaging pipelines converting source data into canonical formats.
• Manage SQL-based transformation logic within data pipelines.
• Support the canonical message schema lifecycle, including validation and compatibility checks.
• Contribute to operational stability, documentation, and Architecture Decision Records (ADRs).