Data Engineer

Data Engineer (Software Engineer III) Ready to make an impact? Join us and work on cutting-edge Generative AI solutions!

About our Team 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.

About the Role 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.

Work in a way that works for you

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.

Working for you

Medical Aid

Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)

Modern family benefits, including adoption and surrogacy

Study Leave

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 an AI solutions 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.

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