Staff Data Engineer: Lead Scalable ML Pipelines (Hybrid)

Staff Data Engineer: Lead Scalable ML Pipelines (Hybrid)

Full-Time No working from home possible
EasyPark

At a Glance

  • Tasks: Architect data services and enhance performance for machine learning products.
  • Company: Join EasyPark, a leader in data science solutions.
  • Benefits: Flexible hybrid working, competitive salary, and impactful projects.
  • Other info: Opportunity to collaborate across teams and drive innovation.
  • Why this job: Make a global impact with your skills in a dynamic team.
  • Qualifications: Extensive experience in data applications, Python, Spark, and AWS.

EasyPark is looking for a Staff Software Engineer to join their Data Science Products team in Greater London. You will architect data services and improve performance, ensuring reliable machine learning products for drivers worldwide.

The ideal candidate has extensive experience in data-intensive applications and excels in Python, Spark, and AWS. Offering flexible hybrid working, this role allows engineers to have a significant cross-team impact.

Staff Data Engineer: Lead Scalable ML Pipelines (Hybrid) employer: EasyPark

EasyPark is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for professionals passionate about cloud security. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive work culture that values teamwork and creativity. Located in a vibrant tech hub, our team enjoys a dynamic environment that fosters both personal and professional development.

EasyPark

Contact Details:

EasyPark Recruitment Team

We think you need these skills to ace Staff Data Engineer: Lead Scalable ML Pipelines (Hybrid)

Data Architecture
Machine Learning
Python
Spark
AWS
Data Engineering
Performance Optimisation