Data Engineer II

LexisNexis; Exeter; On-site; GBP 50,000 - 70,000; Full time

Job summary

A technology and data solutions company is seeking a Data Engineer in Exeter, UK. This role involves designing and maintaining complex data systems to support analytics and AI capabilities. Ideal candidates will have extensive experience with SQL Server, cloud-based Data Lakes, and data engineering methodologies. You will play a key role in ensuring data integrity and building data pipelines for machine learning applications. Benefits include generous holiday, medical benefits, and a contributory pension scheme.

Benefits

Generous holiday allowance

Health screening

Private medical benefits

Wellbeing programs

Life assurance

Competitive contributory pension scheme

Electric Vehicle Scheme

Employee Assistance Programme

Qualifications

• 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.

Responsibilities

• Design, build, and maintain complex data systems.
• Develop and maintain data infrastructure supporting real-time and batch processing.
• Build scalable data ingestion and ML/LLM data pipelines.

Skills

SQL Server

Cloud-based Data Lakes

Data Engineering

Large-scale data platforms

Cloud-native tools

Spark

Tools

Databricks

Snowflake

Azure Synapse

Redshift

Elasticsearch

PostgreSQL

Job description

About our Team

At LexisNexis 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.

About the Role

As a Data Engineer at LexisNexis Intellectual Property (LNIP), you will design, build, and maintain complex data systems that support both traditional analytics and emerging AI/ML-driven capabilities. You’ll contribute to the evolution of a modern Data Platform that underpins mission‑critical products, including data pipelines that enable machine learning, LLM‑powered features, and AI experimentation at scale. Your role will be critical in ensuring the integrity, security, observability, and accessibility of business‑critical data.

Responsibilities

• Be a hands‑on Data Engineer working across our ecosystem of products and Data Platforms.
• Interface with data scientists, AI engineers, and other technical stakeholders to finalize requirements and enable production‑ready AI use cases.
• Develop and maintain data infrastructure supporting real‑time and batch data processing in streaming and event‑driven architectures.
• Build and operate scalable data ingestion, feature engineering, and ML/LLM data pipelines, incorporating Data Lakehouse concepts for unified data management.
• Support MLOps workflows, including dataset versioning, experiment tracking inputs, model training data pipelines, and inference data flows.
• Successfully implement development processes, coding best practices, automated testing, and code reviews.
• Design and maintain APIs and data services that support analytics, ML, and downstream AI applications, ensuring strong data lineage and observability.
• Apply DataOps principles to improve system reliability, performance, monitoring, and deployment automation.
• Automate system lifecycle management and infrastructure where appropriate to ensure robustness, scalability, and cost efficiency.
• Collaborate on the integration of LLMs and AI services (e.g., embedding pipelines, vectorized data preparation, prompt‑related data flows).
• Resolve technical issues as necessary and contribute to root cause analysis.

Requirements

• 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.
• It would also be advantageous to have familiarity with technologies like Elasticsearch, Solr, PostgreSQL, Databricks, Delta Lake, and Delta Share.

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 for you

• 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.
• RECA