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.