Senior Software Engineer

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Lead design, development, and operation of scalable data platforms, pipelines, and backend services using Python. Write performant SQL, build APIs (e.g., FastAPI/SQLAlchemy), own technical decisions, manage infrastructure (containers, orchestration, provisioning), monitor and troubleshoot systems, lead incident response, and mentor engineers.
Summary Generated by Built In

Are you passionate about building scalable data platforms and enabling data-driven innovation?

Do you enjoy leading technical decisions, mentoring engineers, and leveraging AI-powered development tools to deliver impactful solutions?

About our Team

At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind.

About the Role

As a Senior Software Engineer, you will lead the design, development, and operation of scalable data platforms, services, and infrastructure that power critical business outcomes. Working closely with analysts, data scientists, and engineers, you will drive technical excellence, mentor team members, and help shape the future direction of the Data Engineering function. This role offers the opportunity to combine strong engineering fundamentals with AI-assisted development practices to deliver reliable, high-impact solutions.

Responsibilities

- Lead the design, build, and maintenance of data pipelines and backend services using Python
- Write efficient, well-structured SQL for data extraction, transformation, and analysis, and set standards for query and schema design across the team
- Develop and maintain APIs and services (e.g. using FastAPI and SQLAlchemy) to expose data to internal and external consumers
- Own technical design decisions for data systems, balancing scalability, reliability, and maintainability
- Collaborate with data analysts, scientists, and other engineers to understand data needs and deliver reliable solutions
- Drive the design and upkeep of infrastructure supporting data workloads (containers, orchestration, provisioning)
- Monitor, troubleshoot, and improve the performance and reliability of existing data systems, including leading incident response and root-cause analysis where needed
- Mentor other engineers, lead code reviews, and help raise the technical bar across the team

Requirements

- Deep proficiency in Python for building applications, pipelines, or services at scale
- Strong SQL skills, writing performant queries, designing schemas, and optimizing for large or complex datasets
- Significant experience working in a data engineering or backend engineering environment, including owning systems end-to-end
- Demonstrated ability to make sound architectural and technical trade-off decisions
- Experience mentoring engineers and/or leading technical initiatives
- Comfort working in a fast-paced, collaborative team setting
- Experience developing and maintaining APIs and services
- Experience working with AI-assisted development tools and supporting team adoption of AI capabilities

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

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.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • Deep proficiency in Python for building applications, pipelines, or services at scale
  • Strong SQL skills, writing performant queries and designing schemas for large datasets
  • Significant experience in data engineering or backend engineering, including owning systems end-to-end
  • Ability to make sound architectural and technical trade-off decisions
  • Experience mentoring engineers and leading technical initiatives
  • Experience developing and maintaining APIs and services
  • Experience working with AI-assisted development tools and supporting team adoption
  • Comfort working in a fast-paced, collaborative team setting

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

RELX Insights

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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