About this role: 

This is a great opportunity for a Data Engineer to join a company within the finance industry. In this role, you’ll play a key role in building and optimising data pipelines, modelling structures and integrations across a scalable Microsoft Fabric environment. You’ll collaborate with analytics, architecture and engineering teams to enhance data-driven product experiences and improve ingestion, modelling and integration processes across the platform.

Some of the responsibilities:

• Design and maintain scalable ETL and ELT pipelines using Azure Data Factory and Synapse.

• Model and store data using Delta Lake or OneLake, ensuring governance and lineage through Microsoft Purview.

• Integrate third-party APIs into the platform to streamline data flow and reporting.

• Contribute to CI/CD pipelines using Azure DevOps, Docker and Git.

• Implement secure credential management and monitoring through Azure Key Vault.

• Document architecture, data flows and technical processes across the stack.

• Partner with analytics, architecture and engineering teams to enhance data-driven experiences.

• Continuously improve ingestion, modelling and integration processes within the Microsoft Fabric ecosystem.

Some of the requirements:

• Proficient in Next.js, NestJS and Node.js.

• Strong experience in data orchestration, modelling and integration within web applications.

• Hands-on experience with Microsoft Fabric (Pipelines, Lakehouse, Warehouses) and Azure services.

• Skilled in SQL (T-SQL preferred) and either Apache Spark or Python for data engineering.
  Experience embedding Power BI dashboards into web applications.

• Familiarity with data governance tools such as Microsoft Purview and security best practices.

Experience & Qualifications:

• Proven experience in data engineering roles.

• Track record of delivering integrated, data-driven applications.

• Strong experience with Microsoft Azure (essential).

• Background in Financial Services or Wealth Management would be advantageous.

• A degree in a relevant subject would be beneficial.

Don’t miss out – apply today to take the next step in your career!