Senior Data Platform Engineer - ML Pipelines & Databricks

Senior Data Platform Engineer - ML Pipelines & Databricks

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
twentysix

At a Glance

  • Tasks: Own and maintain production machine learning and delivery platform with Databricks/Spark.
  • Company: twentysix, a dynamic tech company in Washington, England.
  • Benefits: Collaborative work environment with opportunities for growth and impact.
  • Other info: Join a passionate team dedicated to innovation and social good.
  • Why this job: Lead technical improvements and work on meaningful digital and philanthropic projects.
  • Qualifications: Extensive software engineering experience, especially with Python and data pipelines.

The predicted salary is between 70000 - 90000 Β£ per year.

twentysix, located in Washington, England, is looking for a skilled software engineer to be responsible for owning and maintaining their production machine learning and delivery platform. The role involves designing large-scale Databricks/Spark pipelines and leading technical improvements. Applicants should have extensive experience in software engineering, particularly with Python and data pipeline integration. A passion for digital and philanthropic causes is highly valued. This position offers a collaborative and dynamic work environment.

Senior Data Platform Engineer - ML Pipelines & Databricks employer: twentysix

twentysix is an exceptional employer that fosters a collaborative and dynamic work environment, perfect for those passionate about digital innovation and philanthropy. Located in Washington, England, we offer extensive opportunities for employee growth and development, alongside a commitment to maintaining a healthy work-life balance. Join us to be part of a forward-thinking team that values your contributions and encourages continuous learning.

twentysix

Contact Details:

twentysix Recruitment Team

We think you need these skills to ace Senior Data Platform Engineer - ML Pipelines & Databricks

Software Engineering
Databricks
Spark
Python
Data Pipeline Integration
Technical Leadership
Machine Learning