Live opening · Posted 3 days ago
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We are seeking an experienced Data Engineer, to support the Development, Enhancement, Validation and Quality assurance of our AI agents that underpin our digital-first capabilities. This role focuses on ensuring the AI Agents workings and Outputs are accurate, reliable and aligned with the defined business and technical requirements. While maintaining strong data governance and security standards.
Technical Role: Looking for 7 - 9 Exp
Build and maintain Data pipelines and validation framework to assess AI Agent performance and output quality.
To pass / update Context passed to the Agent to improve the efficiency and output of the Model and the data pipeline.
Design automated quality checks, monitoring, and reporting for AI agent behaviour across batch and streaming data.
Analyse AI agent outputs to identify gaps, risks, and improvement opportunities.
Discussion with Business Team to work on the solution.
Support the definition of AI agent success metrics, acceptance criteria, and enhancement priorities.
Partner with technology, analytics, and platform teams to improve AI agent reliability, transparency, and scalability.
Ensure solutions are cost-effective and aligned with data governance, security, and regulatory standards.
Responsibilities:
Strong experience as a AWS Data Engineer with hands-on programming skills
Experience with AWS (S3, Glue, Athena, EMR, Lambda), Snowflake, and data warehousing concepts
Strong SQL, Server-less and Python skills, with experience building ETL/ELT pipelines
Understanding of batch and streaming architectures (e.g. Kafka, Airflow)
Experience implementing data quality, monitoring, site reliability or validation controls
Excellent communication and problem-solving skills
Work arrangement
Hybrid
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