Data Engineer II: AI-Driven Data Solutions

LexisNexis Special Services Inc.; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Data Engineer II to design, develop, test and support reliable data solutions within the Insurance data domain. You will focus on data management activities, profiling, validation, and quality improvement while expanding ownership to broader data engineering tasks.

You will work closely with technical teams and stakeholders to translate data requirements into scalable, maintainable data solutions that enhance data quality and operational efficiency across

Qualifications

• Experience in Data Management and Data Engineering.
• Strong knowledge of data profiling, validation and data quality practices.
• Experience with data models and maintainable data solution designs.

Responsibilities

• Own assigned data transfers and components, including collection, transfer and contributor/customer setup, with responsibility for their ongoing maintainability.
• Collaborate with technical teams and stakeholders to understand data and product requirements and translate them into effective data solutions.
• Design, develop, test and maintain efficient, repeatable data engineering solutions using established coding and engineering practices.
• Identify opportunities for automation, including AI-assisted engineering and intelligent automation, to improve productivity and delivery.

Skills

Data management

Data engineering

Data profiling

Data quality

Analytical thinking

Tools

SQL

Java/J2EE

JavaScript

C/C++

.NET

HTML/XML

HPCC

Windows

Unix

Job description

LexisNexis Risk Solutions is seeking a Data Engineer II to design, develop, test and support reliable data solutions within the Insurance data domain. You will focus on data management activities, profiling, validation, and quality improvement while expanding ownership to broader data engineering tasks.

You will work closely with technical teams and stakeholders to translate data requirements into scalable, maintainable data solutions that enhance data quality and operational efficiency across