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About the Role

This role is for a Data Engineer to join a growing Data team, shaping and enhancing data capabilities. The position involves providing data engineering expertise for various initiatives, including Finance and Actuarial, AI-driven Claims Augmentation, and Azure Data Platform and Databricks deliverables. It offers an opportunity to apply expertise in Azure, Databricks, and data engineering techniques to business projects, requiring in-depth technical knowledge and stakeholder engagement.

Responsibilities

• Designing, developing, and maintaining data solutions using Azure Data Factory, Databricks, and Azure SQL Database.
• Providing technical guidance and support to the development team as a senior member.
• Assisting in creating and maintaining comprehensive documentation of data transformations, processes, and systems.
• Fostering communications and relationships between team members and stakeholders to ensure expectations are managed and teams are aligned.
• Development of good internal client relationships.
• Bridging gaps between offshore, third-party development teams, internal development teams, and business stakeholders.
• Keeping abreast of developments and trends in data and reporting technology.
• Planning, tracking, and managing the progress of development activities in coordination with project managers and scrum masters.

Requirements

• Experience in developing data solutions, demonstrating understanding of relational databases, common data warehousing concepts, ETL processes, and data modelling.
• Strong T-SQL skills with experience in querying and manipulating data.
• Familiarity with working within an Agile delivery environment, leveraging tools including Kanban boards, repositories, and CI/CD pipelines.
• Strong analytical and problem-solving skills, with a keen eye for detail.
• Experience with Azure Data Factory (ADF) or SQL Server Integration Services (SSIS).
• Experience with Azure Databricks and Python.
• Experience with Master Data Services (MDS) is beneficial.
• Insurance or other financial service experience is desirable, preferably within a Lloyd’s Managing Agency.
• Ability to work directly with business stakeholders, understand business problems, and deliver effective solutions.
• Comfortable collaborating and working as part of a dynamic multi-disciplinary team.
• Experience of working in an Agile delivery environment.

Skills

• Azure Data Factory
• Databricks
• Azure SQL Database
• T-SQL
• Agile delivery environment
• Kanban boards
• Repositories
• CI/CD pipelines
• Python
• Master Data Services (MDS)

Location

• London

Work Type

• Hybrid
• Full-time

Experience Level

• Senior

Benefits

• Hybrid working
• Competitive base salary
• Non-contributory pension
• Discretionary bonus
• Health insurance (family)
• Dental cover

About the Company

• Canopius is a global specialty lines (re)insurer.
• One of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda.
• Fosters a distinctive, positive culture which enables employees to bring their whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.
• Operates a flexible, hybrid working model.
• Committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.

Equal Opportunity

• Fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment.
• All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate.
• Encourage and welcome applicants from all diverse backgrounds.
• Make reasonable adjustments throughout the recruitment process and during employment.
• Please let us know if you require any information in an alternate format or any other reasonable adjustments.