Data Engineer II

Talent Octopusventures; City Of London; On-site; GBP 65,000 - 90,000; Full time

Job summary

LexisNexis Risk Solutions in the UK Insurance vertical seeks a Data Engineer to design, develop and support reliable data solutions, initially focusing on Data Management and expanding to broader Data Engineering ownership.

You will collaborate with technical teams and business stakeholders to translate data requirements into scalable, maintainable implementations that improve data quality, operational efficiency and customer outcomes.

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 development technologies, including SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows or Unix.

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.

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.

Accessibility and Accommodation

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.

Equal Opportunity

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.

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