Data Engineer

The role focuses on enhancing the data engineering lifecycle with AI by developing and maintaining the Data Packaging Framework to transform source data into standardized formats and deliver Data Products effectively.

• 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).