DATA ENGINEER | 30198

Overview

Key responsibilities include but not limited to the following:

• “Lift & shift” existing SSIS pipelines from AWS to Azure (70 – 80% of the role)
• Liaise with internal stakeholders to understand business requirements
• Data modelling for analysis
• Working with multiple data sources (structured and unstructured)
• Manage the data warehouse in terms of security, structure, dev / prod environments
• Ensure data quality (accurate, consistent, reliable) and ensure data is validated and auditable as it flows through the pipelines
• Monitor performance output and audit logs and apply updates as required to ensure environment operates effectively

Overview

Key responsibilities include but not limited to the following:

• “Lift & shift” existing SSIS pipelines from AWS to Azure (70 – 80% of the role)
• Liaise with internal stakeholders to understand business requirements
• Data modelling for analysis
• Working with multiple data sources (structured and unstructured)
• Manage the data warehouse in terms of security, structure, dev / prod environments
• Ensure data quality (accurate, consistent, reliable) and ensure data is validated and auditable as it flows through the pipelines
• Monitor performance output and audit logs and apply updates as required to ensure environment operates effectively

Please note this is a hybrid role with 1 day a week in London, and 4 days from home. There may be the odd extra requirement based on business needs, but will average at 1 day per week from home.

Qualifications Required

• 5 years’+ experience working in a data related field preferably within the financial services industry

Experience Required

• Data classification, GDPR and working with sensitive data
• Understanding of MGA business and UK general insurance market
• Experience with DevOps and data pipelines
• Strong experience in building SSIS pipelines
• T-SQL
• AWS / Azure exposure