Data Engineer III

Data Engineer

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.

As a Data Engineer, you will undertake difficult research, design, and software development assignments within the French team. You will provide direct input to project plans, schedules, and methodology in the setup, the development, and the tuning of a legal AI agentic platform. You will perform architecture design - typically across multiple components; mentor more junior members of the team and work with others to talk to users/Product team members and translate their requests into solutions.

Responsibilities

• Contributing as part of a SCRUM/KANBAN squad team to develop cutting-edge legal AI solutions.
• Ensuring technical consistency and overall code quality and maintainability, co-create technical components with the architects of the products.
• Defining, coordinating and providing direct input to project plans.
• Writing and reviewing portions of detailed specifications for the development of complex AI agents system components.
• Implementing development processes, coding best practices and code reviews, resolve technical issues as necessary.
• Keeping abreast of new technology developments and follow global RELX technical strategy.
• Mentoring more junior members of the team.

Requirements

• Have 3+ years of Software Data Engineering experience with Python technologies, especially in the micro-services applications with FastAPI, Generative AI, AI agents frameworks.
• Have a BS Engineering/Computer Science or equivalent experience required.
• Have solid experience with various resource models such as Managed Services and/or Staff Augmentation.
• Be proficient with reactive programming in Python, Machine Learning libraries and LLM clients libraries as LangChain, LiteLLM, MS Autogen or Google ADK, MCP and Agent2Agent protocols.
• Have some experience with Lucene based search engines like Apache Solr or Elasticsearch.
• Have expertise in development languages and technical stack including but not limited to: AWS Cloud (services: Lambda, S3, RDS, Redshift, event Brigdge, SES, or SNS…), NoSQL databases (Cassandra, Redis, MongoDB….), deployment infrastructures (Kubernetes, Azure DevOps, Terraform, Jenkins, CI/CD …) and Python 3.x,
• Be an exceptional problem-solver with experience in leading teams including identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues.

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 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

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Aid
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
• Modern family benefits, including adoption and surrogacy
• Study Leave

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.

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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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