Global Data Engineer - Pipelines & ML Data Ops (London)

Global Data Engineer - Pipelines & ML Data Ops (London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and maintain scalable data pipelines for analytics and machine learning.
  • Company: Join JD.com, a global leader in e-commerce and technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with diverse teams and exciting projects.
  • Why this job: Make an impact on global data operations and work with cutting-edge technologies.
  • Qualifications: Strong skills in big data processing, database management, and cloud platforms.

The predicted salary is between 60000 - 80000 Β£ per year.

JD.com is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics and machine learning across international markets. You will collaborate with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency in a global context.

The role requires strong technical expertise in big data processing, database management, and cloud platforms, with a focus on reliability, security, and GDPR.

Global Data Engineer - Pipelines & ML Data Ops (London) employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace Global Data Engineer - Pipelines & ML Data Ops (London)

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration