Data Engineer II

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

Data Engineer IIThis site, powered by Workday, uses cookies that are essential for the site to work. The site may also use additional cookies to analyze site statistics and optimize the site experience. Click “Accept Cookies” to accept all additional cookies or click “Decline” to reject all non-essential cookies. For more information, see our Cookie Notice.### Data Engineer IIApply: United Kingdom: Full time: Posted Today: R119724**What excites you about designing and delivering reliable data solutions that improve data quality and drive better decisions across the insurance lifecycle?** **Are you motivated by solving complex data challenges, working with modern engineering practices and exploring AI-assisted automation to create meaningful business impact?****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. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.