Senior Data Engineer w/ ML & GenAI

About the role

We are seeking a Senior Data Engineer with strong machine‑learning and generative‑AI expertise to join the team serving a Fortune 50 client building a fan‑engagement platform for a major US sports franchise. The role is remote‑first with required overlap of US working hours and occasional travel for workshops in the UK and Europe.

Key responsibilities

• Design, develop and maintain scalable cloud‑based data architectures on AWS (Glue, Lambda, S3, Redshift).
• Implement ETL processes and real‑time data pipelines for batch and streaming workloads.
• Model data, migrate legacy datasets, and transform raw structured and unstructured data into graph‑ready formats.
• Manage ML pipelines, maintain a model registry, and support production deployment of ML models.
• Apply CI/CD practices using AWS CodePipeline, CodeBuild, Docker and Kubernetes.
• Collaborate with data consumers, gather requirements, define interfaces, and participate in agile design sessions.

Required profile

• Strong SQL expertise for data modeling, ETL, and performance tuning.
• Proven experience deploying ML models and working with ML frameworks.
• Solid Python skills, especially for handling complex JSON structures.
• Extensive hands‑on experience with AWS services.
• Understanding of software engineering, testing, and agile methodologies.
• Excellent teamwork, communication, and English language proficiency.

Required skills

• Python
• SQL
• AWS (Glue, Lambda, S3, Redshift)
• Docker
• Kubernetes
• ETL development
• Data modeling
• ML model deployment
• CI/CD (CodePipeline, CodeBuild)