Senior Data Engineer w​/ML&GenAI

We are looking for Data Engineers with ML skills for the team of our Fortune 50 client, building a new platform for the famous sports team in the US. The main objective of the project is to build a platform to enhance fan engagement, optimize monetization, and deliver seamless stadium and remote experiences.

This is a remote-first position with a required overlap of US working hours (2-6 PM CET).

• Implement ETL processes and real-time data pipelines for efficient data handling and integration.
• Develop and maintain scalable, cloud-based data architecture using AWS services, including Glue, Lambda, S3, and Redshift.
• Manage ML pipelines and maintain a model registry for version control and efficient model deployment.
• Transform raw structured and unstructured data into clean, well-modeled graph inputs (nodes, edges, metadata).
• Implement CI/CD practices using Code Pipeline and Code Build to streamline development and deployment processes.
• Employ Docker for containerization and efficient resource management across development environments.
• Gather requirements
  , set targets
  , define interface specifications
  , and conduct design sessions
  .
• Work closely with data consumers to ensure proper integration.
• Adapt and learn in a fast-paced project environment
  .

• Strong SQL skills for ETL
  , data modeling, and performance tuning.
• Experience with ML models
• Proficiency in Python, especially for handling and flattening complex JSON structures.
• Production experience with deploying ML models and expertise in ML frameworks and tools.
• Extensive experience with AWS cloud services.
• Understanding of software engineering and testing practices within an Agile environment.
• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must have) and Kubernetes (plus).
• Excellent teamwork and communication skills.
• Proficiency in English, with strong written and verbal communication skills.
• Efficient, high-performance data pipelines for real-time and batch data processing.

• Start Date
  : ASAP
• Location
  :
  Remote (99%); must be able to travel freely within the UK & Europe for workshops.
• Onsite Requirements
  : Mandatory planning sessions/workshops (4 times a year).
• US Time Zone Overlap
  :
  Required (2 AM - 6 PM CET
  )
• Rate: 290-340 EUR/MD

If you are passionate about Data Engineering, cloud-native architectures, and AI applications
, this role with our client offers an exciting opportunity to work on impactful projects!