Senior Data Platforms Engineer

4 weeks ago

London, Greater London, United Kingdom Barrington James Full time
Senior Data Platforms Engineer

Barrington James is seeking a highly skilled Senior Data Platforms Engineer to join their team. As a key member of the data engineering team, you will play a crucial role in designing, maintaining, and scaling our data platform.

Key Responsibilities:
  • Design and deploy scalable, high-availability systems on AWS, including data warehouses, data lakes, and large PostgreSQL databases.
  • Work with large datasets using tools like Pandas or Spark for data manipulation and processing.
  • Identify and implement improvements in the ML model lifecycle through tools that enhance experimentation.
  • Apply best practices in testing, continuous integration, and continuous delivery (CI/CD) to ensure reliable development and deployment of ML services.
  • Collaborate closely with platform engineers, ML engineers, and cross-functional teams to bring research solutions into production.
Requirements:
  • 3+ years of experience with AWS services (e.g., EC2, RDS, S3, SageMaker, Lambda) and AWS data warehousing and data lake solutions.
  • ~3+ years of experience working with large relational databases.
  • ~5+ years of experience with Python API frameworks (e.g., FastAPI, Django, Flask) for building RESTful services and Python libraries like Pandas or Spark.
  • ~ AWS certifications such as AWS Solutions Architect or AWS DevOps Engineer.
Preferred Qualifications:
  • D. in Computer Science, Electrical Engineering, Statistics, or a related discipline.
  • Demonstrated expertise in deploying and managing ML models in production using MLOps tools.
  • Proficiency in Python with experience using libraries such as PyTorch and scikit-learn.
What We Offer:
  • Long term incentives
  • 25+ days holiday

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