Data Engineer II - AI-Driven Data Quality & Automation

LexisNexis Risk Solutions UK Ltd. Company; United Kingdom; Remote; GBP 55,000 - 75,000; Full time

Job summary

LexisNexis Risk Solutions UK Ltd. Company is seeking a Data Engineer to design, develop and support reliable data solutions that deliver high-quality data products for the Insurance vertical.

You will start with Data Management tasks, profiling, validation and quality control while growing into broader Data Engineering responsibilities. You will collaborate closely with technical teams and business stakeholders to translate data requirements into scalable, maintainable solutions that improve

Qualifications

• Experience in Data Management or Data Engineering.
• Strong knowledge of data profiling, validation and data quality practices.
• Experience with data models and maintainable data solution designs.
• Familiarity with Agile or Waterfall development methodologies.

Responsibilities

• Own assigned data transfers and components with maintainability in mind.
• Collaborate with technical teams to translate data requirements into solutions.
• Design, develop, test and maintain data engineering solutions using established practices.
• Evaluate approaches balancing delivery, data quality, testing and maintainability.
• Perform Data Management activities including profiling, validation and quality mitigation.
• Troubleshoot data engineering issues and implement sustainable fixes.
• Identify opportunities for automation and AI-assisted engineering to boost productivity.
• Contribute to code reviews and technical documentation.

Skills

Analytical thinking

Communication skills

Problem solving

Learning agility

Tools

SQL

Java/J2EE

JavaScript

C/C++

.NET

HTML/XML

HPCC

Windows/Unix

Job description

LexisNexis Risk Solutions UK Ltd. Company is seeking a Data Engineer to design, develop and support reliable data solutions that deliver high-quality data products for the Insurance vertical.

You will start with Data Management tasks, profiling, validation and quality control while growing into broader Data Engineering responsibilities. You will collaborate closely with technical teams and business stakeholders to translate data requirements into scalable, maintainable solutions that improve