Date Engineer

Mixture of Experts; Greater London; Hybrid; GBP 55,000 - 92,000; Full time

Job summary

Mixture of Experts is seeking a hands-on Contract Data Engineer to drive migration of legacy reporting to a modern Azure/Microsoft Fabric data platform in London. You will own ETL development, schema mapping and validation across multiple data sources, and design data models using Kimball principles.

The role is a 6-month contract with a rate of up to £500/day (Outside IR35), with a hybrid London pattern (3 days on site).

Qualifications

• Strong SQL and data engineering background.
• Experience with ETL/ELT pipelines, schema mapping and data modelling.
• Azure Data Factory, Azure Data Lake and Power BI experience.
• Exposure to Microsoft Fabric.
• Comfortable working independently in fast-moving environments.

Responsibilities

• Migrating reporting procedures from legacy systems to an Azure-based Foundation data platform.
• Managing schema mapping, transformations and reporting validation.
• Building and improving ETL pipelines across multiple data sources.
• Designing Fact and Dimension models using Kimball principles.
• Introducing GitHub version control and engineering best practices.

Skills

SQL

Data Engineering

ETL/ELT pipelines

Data modelling

Tools

Azure Data Factory

Azure Data Lake

Power BI

Microsoft Fabric

Job description

Contract Data Engineer | Reporting Migration & Data Warehouse

Up to £500/day (Outside IR35) | 6 Months | London (3 Days Per Week) | ASAP

We're working with a fintech business undergoing a major reporting transformation and they're looking for a hands-on Data Engineer to support the migration from a legacy reporting platform to a modern Azure/Microsoft Fabric environment.

Details

• Start: ASAP
• Length: 6 Months
• Rate: Up to £500/day

What You'll Be Doing

• Migrating reporting procedures from legacy systems to a new Foundation data platform.
• Managing schema mapping, transformations and reporting validation.
• Building and improving ETL pipelines across multiple data sources.
• Designing Fact and Dimension models using Kimball principles.
• Introducing GitHub version control and engineering best practices.

What We're Looking For

• Strong SQL and Data Engineering background.
• Experience with ETL/ELT pipelines, schema mapping and data modelling.
• Azure Data Factory, Azure Data Lake and Power BI experience.
• Exposure to Microsoft Fabric.
• Comfortable working independently in fast-moving environments.