AI & Data Engineer

Responsibilities

. Design, develop, and maintain scalable data pipelines for ingestion,transformation, and delivery.

. Build and automate ETL/ELT workflows to improve efficiency, reliability,and scalability.

. Develop data solutions using AWS services such as S3, Glue, Redshift,EMR, Athena, and Lambda.

. Work with Data Scientists and business stakeholders to support analytics,reporting, and AI/ML initiatives.

. Implement monitoring, logging, and data quality processes to ensurereliable data delivery.

. Maintain data governance, security, and compliance with organisationalpolicies and relevant regulations.

. Contribute to CI/CD, Infrastructure-as-Code, and automation initiativesto improve engineering practices.

. Document data pipelines, architecture, and technical processes.

Requirements

. Minimium 5 years of experience in Data Engineering and modern cloud dataplatforms.

. Strong expertise across AWS, Azure, and/or GCP ecosystems.

. Extensive experience with Snowflake and Databricks.

. Strong Python engineering skills and software engineering fundamentals.

. Experience leading technical delivery workstreams and mentoringengineers.

. Experience designing and implementing AI and ML data platforms.

. Experience implementing model monitoring and observability capabilities.

. Strong stakeholder management and communication skills.

. Ability to align technical solutions with business outcomes.