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.