Data Engineer II β€” Build Scalable Data Pipelines (Python/Spark)

Data Engineer II β€” Build Scalable Data Pipelines (Python/Spark)

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
LexisNexis Risk Solutions

At a Glance

  • Tasks: Build and maintain scalable data pipelines using Python, SQL, and Spark.
  • Company: Join LexisNexis Risk Solutions, a leader in data innovation.
  • Benefits: Enjoy competitive salary, health benefits, and a collaborative work culture.
  • Other info: Be part of a culture that values innovation and excellence.
  • Why this job: Make an impact by supporting core products in a dynamic team environment.
  • Qualifications: 2-3 years of experience in data engineering and proficiency in relevant technologies.

The predicted salary is between 45000 - 55000 Β£ per year.

Lexis Nexis Risk Solutions is looking for a Data Engineer II to build and maintain data pipelines within a collaborative team environment.

Ideal candidates will have 2-3 years of experience and proficiency in Python, SQL, and Spark.

The position supports core products by utilizing various technologies and participating in project delivery while contributing to a culture of innovation and excellence.

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LexisNexis Risk Solutions

Contact Details:

LexisNexis Risk Solutions Recruitment Team

We think you need these skills to ace Data Engineer II β€” Build Scalable Data Pipelines (Python/Spark)

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