About the 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 Senior Data Engineer, you will deliver high quality analytics and AI ready data by modernising core data foundations, ingestion, ETL/ELT, integration, warehousing, orchestration, curation, and operational reliability—while improving automation, performance, and scalability. You will partner with our AI Hub and international engineering teams to drive best practice patterns from enterprise warehousing through to AI ready capabilities that enable LLM, retrieval, and agent-based workflows.
Responsibilities
• Designing, building, and maintaining scalable data pipelines and data products.
• Building shared ingestion, integration, transformation, and curation foundations across structured and unstructured sources.
• Implementing warehouse and storage patterns that provide reliable, reusable, and governed access to data.
• Raising operational excellence across the data estate (performance, reliability, maintainability, and supportability).
• Migrating and running data workloads on cloud platforms, optimising for cost and scalability.
• Developing pragmatic tooling and architecture decisions within organisational, security, and budget constraints.
• Creating data assets and access patterns that enable analytics, ML, and agent-based experiences.
• Collaborating with Data Scientists and Software Engineers to deliver AI use cases, applying strong quality, observability, testing, and documentation practices while contributing standards and mentoring.
Requirements
• Have at least 5+ years of experience in a production Data Engineering role with strong ownership of data pipelines, databases, and test driven development.
• Have proven experience designing and operating enterprise data pipelines, ETL/ELT workflows, orchestration, and warehousing solutions.
• Have solid understanding of production grade data quality, observability, security, governance, and performance optimization.
• Have advanced expertise in database design and data modelling (normalized and dimensional), following architectural best practices.
• Be proficient in SQL as a primary language, with experience in C# or Java; Python and PySpark are beneficial.
• Have experience managing databases across on prem and cloud environments, including both structured and unstructured (text heavy) data.
• Have solid experience with cloud data platforms on AWS and/or Azure, including data lakes, warehousing, orchestration, governance, and retrieval oriented tooling.
• Be familiarity with big data and distributed systems (e.g. Spark), orchestration tools (Airflow), streaming technologies (Kafka), and cross functional collaboration, including writing and reviewing technical specifications.
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 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
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 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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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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