Senior Data Platform Engineer: Python + Databricks (Hybrid)

Senior Data Platform Engineer: Python + Databricks (Hybrid)

Full-Time 65250 - 79750 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and enhance a financial data platform using Python and Databricks.
  • Company: Codelitt, a forward-thinking tech company based in Edinburgh.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with excellent career advancement potential.
  • Why this job: Join an international team and make a real impact on data workflows.
  • Qualifications: Experience with Python, data pipelines, and strong software-quality practices.

The predicted salary is between 65250 - 79750 Β£ per year.

Codelitt in Edinburgh is seeking a Senior Data Platform Engineer to build and evolve a financial data platform on Databricks.

This hybrid role requires you to visit the Edinburgh office 2-3 days per week and work on Python services, data pipelines, APIs, and data models.

You will own well-defined areas, collaborate with an international team, and help improve performance, reliability, and observability of data workflows while adhering to strong software-quality practices.

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Senior Data Platform Engineer: Python + Databricks (Hybrid) employer: Priscila Rosa Desenvolvimento Humano

Codelitt is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, you will have access to continuous learning opportunities while working alongside an international team on cutting-edge projects. The hybrid work model not only promotes flexibility but also ensures a balanced work-life integration, making it a rewarding place for those looking to make a meaningful impact in the tech industry.

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Contact Details:

Priscila Rosa Desenvolvimento Humano Recruitment Team

We think you need these skills to ace Senior Data Platform Engineer: Python + Databricks (Hybrid)

Python
Databricks
Data Pipelines
APIs
Data Models
Performance Improvement
Reliability Engineering