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职位LexisNexis (RELX)

Senior UI Software Engineer II

LexisNexis (RELX)

Senior UI Software Engineer II

LexisNexis (RELX)

London; Sweden

·

On-site

·

Full-time

·

3d ago

Senior Software Engineer II (Front-End / UI Engineering)About the role:

In this role, you’ll design and ship user interfaces for data‑intensive products used in production. You’ll work with React and TypeScript and connect to analytics and ML services (for example via Dash, Domo, and Snowflake). Reliability and performance matter: you’ll help deliver experiences that remain responsive at high data volumes and meet agreed availability and latency targets. We’re looking for a senior UI engineer to build fast, accessible portals and dashboards that help teams use AI insights and analytics in day-to-day decisions.

Responsibilities:

  • Build and maintain portal and dashboard interfaces using React and TypeScript.

  • Create and evolve data views and workflows using tools such as Dash, Domo, and Snowflake (or similar platforms).

  • Improve performance and reliability so features stay fast and stable at high data volumes.

  • Integrate the UI with inference and analytics APIs and ensure data is presented clearly and responsibly.

  • Implement secure, privacy-aware UI patterns, including role-based access controls.

  • Partner with ML and data teams to turn model outputs into intuitive, accessible user experiences.

  • Support delivery and operations for front-end services (build/release pipelines, monitoring, and on-call/incident response as needed).

  • Contribute to shared UI components, design standards, and tooling that improves developer experience.

Requirements:

  • Strong experience building production UIs with React and TypeScript.

  • Experience with at least two of the following (or similar): Dash, Domo, Snowflake UI tooling, or other data visualisation/BI platforms.

  • Experience building dashboards or data-heavy tools where performance and reliability matter (for example, environments with latency/availability targets).

  • Working knowledge of backend services (for example Python or Java) so you can debug issues end-to-end and collaborate effectively with backend teams.

  • Familiarity with data visualisation libraries such as D3, Plotly, ECharts, or similar.

  • Able to take initiative, communicate clearly, and work effectively with partners across engineering, product, and data science.

  • Familiarity with modern delivery and security practices (for example CI/CD, deployment patterns, and secure-by-default engineering).

  • Comfortable learning new tools and occasionally working outside your primary area when needed.

Working for you:

We offer a range of benefits to support your wellbeing and life outside work, including:

  • Generous holiday allowance with the option to buy additional days
  • Health screening, eye care vouchers and private medical benefits
  • Wellbeing programs
  • Life assurance
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme
  • Travel Season ticket loan
  • Electric Vehicle Scheme
  • Optional Dental Insurance
  • Maternity, paternity and shared parental leave
  • Employee Assistance Programme
  • Access to emergency care for both the elderly and children
  • RECARES days, giving you time to support the charities and causes that matter to you
  • Access to employee resource groups with dedicated time to volunteer
  • Access to extensive learning and development resources
  • Access to employee discounts scheme via Perks at Work
  • Learn more about the LexisNexis Risk team and how we work here

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

](https: //www.relx.com/careers/join-us/benefits)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](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.office.com%2Fr%2FeVgFxjLmAK&data=05%7C02%7CSharon.

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Please read our [Candidate Privacy Policy](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.relx.com%2Fcareers%2Fjoin-us%2Fprivacy&data=05%7C02%7CSharon.

Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169045885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hc Gki OnRydWUs IlYi OiIw LjAuMDAwMCIs IlAi OiJXaW4z MiIs IkFOIjoiTWFpbCIs IldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=X%2Brqkisse Fh6q%2BEqRLu RvCa2dfT9Q2QeATdfGRVQxnI%3D&reserved=0).

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.

**USA Job Seekers:

[EEO Know Your Rights](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eeoc.gov%2Fsites%2Fdefault%2Ffiles%2F2023-06%2F22-088_EEOC_KnowYourRights6.12.pdf&data=05%7C02%7CSharon.

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关于LexisNexis (RELX)

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

员工数

Alpharetta

总部位置

$41.2B

企业估值

评价

4.2

47条评价

工作生活平衡

4.1

薪酬

4.6

企业文化

4.4

职业发展

4.2

管理层

3.7

86%

推荐给朋友

优点

Flexible remote work options and good work-life balance

Competitive compensation packages with equity

Opportunities for continuous learning and growth

缺点

Organizational changes and restructuring can be disruptive

Internal politics in some teams

Fast-paced environment with tight deadlines

薪资范围

66个数据点

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2份报告

$72,805

年薪总额

基本工资

$63,221

股票

-

奖金

-

$72,805

$72,805

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

常见问题

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis