Data Engineer II

RELX; United Kingdom; On-site; GBP 55,000 - 90,000; Full time

Job summary

LexisNexis Risk Solutions in the United Kingdom is hiring a Data Engineer to design, develop, test and support reliable data solutions. You will focus on Data Management activities and grow into broader Data Engineering ownership, collaborating with technical teams and stakeholders to improve data quality and operational efficiency.

You will work on data profiling, validation and quality management while translating data requirements into scalable solutions that enhance customer outcomes across

Qualifications

• Experience in Data Management, Data Engineering or a related technical data role.
• Strong knowledge of data manipulation, profiling, validation and data quality practices.
• Experience with data models, data requirements and maintainable data solution designs.
• Experience with SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows or Unix.
• Understanding of software engineering practices, including testing, code reviews and development methodologies (Agile or Waterfall).
• Strong analytical and problem-solving skills with good communication and learning mindset.

Responsibilities

• Own assigned data transfers and components, including collection, transfer and setup for contributors/customers.
• Collaborate with technical teams and stakeholders to translate data requirements into solutions.
• Design, develop, test and maintain efficient, scalable data engineering solutions.
• Evaluate approaches balancing delivery, data quality, testing and maintainability.
• Perform Data Management activities: profiling, validation and quality management.
• Troubleshoot data engineering issues and implement sustainable fixes.
• Identify opportunities for automation, including AI-assisted engineering and intelligent automation.
• Contribute to code reviews, specifications, database and workflow management, and new tech adoption.

Skills

Data Management

Data Engineering

SQL

Java/J2EE

JavaScript

C/C++

.NET

HTML/XML

HPCC

Windows/Unix

Agile/Waterfall

Analytical thinking

Communication

Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.

About the Role

As a Data Engineer, you will design, develop, test and support reliable data solutions that enable high-quality data products and services. Initially focused on Data Management activities, you will play a key role in data profiling, validation, quality management and issue resolution while growing into broader Data Engineering ownership.
Working closely with technical teams and business stakeholders, you will translate data requirements into scalable and maintainable solutions, helping to improve data quality, operational efficiency and customer outcomes across our Insurance business.

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 and maintainable data engineering solutions using established coding and engineering practices.
• Evaluate technical approaches and recommend solutions that balance delivery, data quality, testing and maintainability.
• Perform Data Management activities, including data profiling, validation, quality management and investigation and resolution of data issues.
• Troubleshoot data engineering issues, identify root causes and implement sustainable fixes.
• Identify opportunities for automation, including AI-assisted engineering and intelligent automation, to improve productivity, troubleshooting and delivery.
• Contribute to code reviews, technical specifications, database and workflow management, process improvement and adoption of relevant new technologies.

Requirements

• Experience in Data Management, Data Engineering or a related technical data role.
• Strong knowledge of data manipulation, profiling, validation and data quality practices.
• Experience working with data models, data requirements and maintainable data solution designs.
• Experience with relevant development technologies, such as SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows or Unix.
• Understanding of software engineering practices, including testing, code reviews, maintainability and development methodologies such as Agile or Waterfall.
• Strong analytical and problem-solving skills, with the ability to assess alternatives and recommend appropriate solutions.
• Clear communication skills, attention to detail and an interest in learning and applying new technologies, including AI-assisted engineering and automation

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

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