Cloud Data Engineer for Global Databricks Implementation

4 weeks ago


London, Greater London, United Kingdom SCOR Digital Solutions Full time
Overview of the Role

We are seeking a skilled Cloud Data Engineer to join our team at SCOR Digital Solutions. As a key member of our data community, you will play a crucial role in contributing to our global Databricks implementation.

About the Job

This is an exciting opportunity to work on architecting, developing, and optimizing data pipelines on Databricks. You will lead the design, development, and deployment of scalable and efficient data pipelines to support our global data initiatives. Additionally, you will collaborate with other data professionals to ensure seamless data flow and accessibility for advanced analytics.

Responsibilities
  • Data Pipeline Development: Lead the design, development, and deployment of scalable and efficient data pipelines on Databricks.
  • Cluster Management: Architect and manage Databricks clusters, jobs, and workflows for optimal performance and scalability.
  • Data Governance: Implement best practices for data governance, security, and data quality in Databricks environments.
  • Optimization: Continually optimize existing Databricks implementation for cost efficiency, performance, and reliability.
Requirements
  • Master's degree or equivalent in Computer Science, Data Science, STEM, or related field.
  • +2 years of experience in data engineering, preferably within the (re)insurance sector.
  • Significant experience in building and managing complex ETL/ELT pipelines.
  • Proficient in SQL and one or more programming languages (e.g., Python, Scala).
  • Familiarity with data platforms, analytics, and data visualization tools (e.g., Databricks, Power BI).
Benefits
  • Competitive salary: £70,000 - £90,000 per annum.
  • Pension plan.
  • Medical allowance.
  • Green policy.
  • Learning and development courses.


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