AI Manager, Data Engineering
Skills
About This Role
Overview
- Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the Group
- Translate business use cases into clean, well-architected technical solutions across both batch and streaming data environments
- Own data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scale
- Develop APIs, workflows and integrations that connect data infrastructure to AI and ML systems
- Lead delivery across small engineering pods, maintaining pace, quality and clear accountability
- Ensure all solutions meet production readiness standards including monitoring, observability and fault tolerance
- About you:
- Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environments
- Proficiency with cloud data platforms such as Snowflake, BigQuery or Redshift
- Experience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalent
- Strong SQL and Python skills, with an understanding of software engineering principles applied to data
- Experience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layers
- Comfortable leading engineering teams and managing delivery across multiple workstreams
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