Senior Data Engineer II

LexisNexis; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading intellectual property firm in the UK is seeking a Senior Data Engineer to lead the design and development of complex data systems. This position involves mentoring other engineers and contributing to AI-focused projects. The right candidate will have strong skills in SQL Server, cloud Data Lakes, and experience with tools like Databricks and Spark. We offer numerous wellbeing initiatives and benefits to support work-life balance.

Benefits

Health screening

Eye care vouchers

Private medical benefits

Optional dental insurance

Qualifications

• Strong experience with SQL Server and cloud-based Data Lakes (Azure and/or AWS).
• Deep knowledge of large-scale data platforms such as Databricks and Snowflake.
• Hands-on experience with Spark and test-driven development (TDD).

Responsibilities

• Mentor, coach and support other data engineers.
• Design, build, and evolve complex data systems for analytics and AI capabilities.

Skills

SQL Server

Cloud-based Data Lakes (Azure and/or AWS)

Data pipelines for AI/ML

Spark

Test-driven development (TDD)

LLM or GenAI experience

Tools

Databricks

Snowflake

Azure Synapse

Redshift

Elasticsearch

Solr

PostgreSQL

Delta Lake

Delta Share

Job description

## .About the RoleAs a Senior Data Engineerat LexisNexis 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 at scale. This role is critical in ensuring the integrity, security, observability, scalability, and long-term sustainability of business-critical data platforms.Responsibilities:Mentor, coach and support other data engineers, contributing to knowledge sharing, technical growth, and engineering excellence.**Requirements:**Strong experience with SQL Server and cloud-based Data Lakes (Azure and/or AWS). 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. 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, PostgreSQL, Databricks, Delta Lake, and Delta Share.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.We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health screening, eye care vouchers and private medical benefits● Optional Dental Insurance **We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **to access benefits specific to your location.**