Senior Data Engineer II

About the Team

At Lexis Nexis 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.

As a Senior Data Engineer at Lexis Nexis Intellectual Property (LNIP), you will play a key technical leadership role in designing, building, and evolving complex data systems that support both traditional analytics and emerging AI capabilities. You will help shape the architecture and standards that underpin mission‑critical products, including data pipelines that enable machine learning, LLM‑powered features, and AI experimentation s role is critical in ensuring the integrity, security, observability, scalability, and long‑term sustainability of business‑critical data platforms.

• Serve as a senior, hands‑on Data Engineer across our data platforms, including ML and GenAI workloads.
• Develop and maintain data infrastructure supporting real‑time and batch data processing in streaming and event‑driven architectures.
• Mentor, coach and support other data engineers, contributing to knowledge sharing, technical growth, and engineering excellence.
• Lead and participate in technical design discussions, contributing to architectural improvements and long‑term data strategy.
• Stay current with emerging trends in data engineering, MLOps, and generative AI, and help assess their applicability within LNIP. Partner with data scientists, AI engineers, and product teams to deliver production‑ready AI use cases.
• Build and operate data ingestion and feature engineering data pipelines using Data Lakehouse patterns.
• Support MLOps workflows including training, inference, and experiment‑related data pipelines.
• Uphold engineering best practices through code reviews, testing, and CI/CD.
• Design and support APIs and data services with strong data lineage and observability.
• Apply Data Ops principles to improve reliability, performance, and automation.

• Strong experience with SQL Server and cloud‑based Data Lakes (Azure and/or AWS).
• Proven background in modern Data Engineering, including building production‑grade pipelines.
• Deep knowledge of large‑scale data platforms such as Databricks and Snowflake.
• Familiarity with cloud‑native tools including Azure Synapse and Redshift.
• Experience building data pipelines that support AI/ML workloads.
• Understanding of Scrum, Kanban, and Agile software development methodologies.
• Hands‑on experience with Spark.
• Experience working with test‑driven development (TDD) approaches.
• Having experience with LLM or GenAI initiatives—such as preparing data for embeddings, working with vector databases, or implementing retrieval‑augmented generation (RAG)—would be a bonus.
• It would also be advantageous to have familiarity with technologies like Elasticsearch, Solr, Postgre
  
  SQL, Databricks, Delta Lake, and Delta Share.

• 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.

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