Azure Data Engineer: Databricks & Data Platform (Hybrid)

Canopius; Greater London; Hybrid; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Hybrid working

Competitive base salary

Pension

Health insurance

Job summary

Canopius is seeking a Data Engineer to join the growing Data team in London. You will shape and enhance data capabilities across Finance, Actuarial, and Claims AI initiatives, leveraging Azure, Databricks and modern data engineering techniques.

The role involves supporting legacy SQL Server data warehouses while transitioning to Azure, and working in an Agile delivery environment with senior business stakeholders across multiple domains. Hybrid role with 2–3 days in the London office.

Qualifications

• Experience building data solutions with relational databases and data warehousing concepts.
• Strong T-SQL skills for data querying and manipulation.
• Familiarity with Agile delivery, Kanban boards, repositories, and CI/CD pipelines.

Responsibilities

• Design, develop and maintain data solutions using Azure Data Factory, Databricks and Azure SQL Database.
• Provide technical guidance as a senior member of the project development team.
• Document data transformations, processes and systems comprehensively.

Skills

Azure Databricks

Python

T-SQL

Azure Data Factory

SSIS

Azure SQL Database

Data Modelling

Agile / Kanban

CI/CD pipelines

Tools

Databricks

Job description

Canopius is seeking a Data Engineer to join the growing Data team in London. You will shape and enhance data capabilities across Finance, Actuarial, and Claims AI initiatives, leveraging Azure, Databricks and modern data engineering techniques.

The role involves supporting legacy SQL Server data warehouses while transitioning to Azure, and working in an Agile delivery environment with senior business stakeholders across multiple domains. Hybrid role with 2–3 days in the London office.