Insurance Data Engineer: Cloud Pipelines & Platforms

Billigence; City Of London; Hybrid; GBP 95,000 - 142,000; Full time

Benefits offered by this job

Competitive daily rate

Hybrid working environment

Enterprise-scale data transformation

Access to leading technologies

Learning and career development

Collaborative culture

Job summary

Billigence in Dublin is seeking two experienced Data Engineers for a major client engagement in the insurance sector. This hybrid role requires on-site 2–3 days per week and focuses on designing, building, and optimising modern data pipelines and cloud data platforms.

You will collaborate with stakeholders across teams to ensure data quality, performance, and reliable data solutions, drawing on insurance domain knowledge and SQL skills.

Qualifications

• Experience delivering enterprise-scale data solutions.
• Insurance industry experience is essential.
• Strong understanding of insurance data models and processes.
• Experience building modern data pipelines using cloud technologies.
• Excellent SQL and data integration skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimise cloud-based data solutions and platforms.
• Integrate data from multiple sources into enterprise environments.
• Collaborate with stakeholders to deliver data solutions.
• Ensure data quality, performance, and reliability across the platform.
• Support data modelling and transformation activities.
• Contribute to engineering, testing, documentation, and deployment best practices.

Skills

Data Engineer experience

SQL skills

Cloud platforms (Azure/AWS/GCP)

Agile delivery

Insurance domain knowledge

Tools

Azure

AWS

GCP

Job description

Billigence in Dublin is seeking two experienced Data Engineers for a major client engagement in the insurance sector. This hybrid role requires on-site 2–3 days per week and focuses on designing, building, and optimising modern data pipelines and cloud data platforms.

You will collaborate with stakeholders across teams to ensure data quality, performance, and reliable data solutions, drawing on insurance domain knowledge and SQL skills.