Data Engineer

DGH Recruitment; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

DGH Recruitment is seeking a Data Engineer to join a leading professional services organisation's Data & Analytics function in Greater London. You will design and maintain an enterprise data platform, delivering high-quality reporting, analytics, and business insights across the organisation.

You will build scalable pipelines, develop dimensional models, and optimise Snowflake environments while using Azure Data Factory for data integration.

Qualifications

• Experience in data engineering, data architecture, and data modelling.
• Hands-on Snowflake administration and performance tuning.
• Experience using Azure Data Factory for data orchestration.
• Understanding of data warehousing and dimensional modelling principles.
• Ability to explain complex data concepts to business stakeholders.

Responsibilities

• Design and maintain enterprise data platform solutions.
• Build scalable, production-grade data pipelines and transformations.
• Develop dimensional data models to support reporting and analytics.
• Manage and optimise Snowflake environments for performance and cost.
• Create and maintain data ingestion pipelines using ADF.
• Implement data governance, security controls, and access management.
• Contribute to data engineering standards, CI/CD processes.
• Collaborate with stakeholders to deliver data solutions.

Skills

Data engineering

Data architecture

Data modelling

Data governance

Stakeholder communication

CI/CD processes

Tools

Snowflake

Azure Data Factory

Job description

A leading professional services organisation is seeking a Data Engineer to join its growing Data & Analytics function. This is an excellent opportunity to play a key role in the development and enhancement of an enterprise data platform, helping to deliver high-quality reporting, analytics, and business insights.

You'll be responsible for designing and maintaining data solutions, building scalable data pipelines, and supporting the delivery of robust data models that power enterprise reporting and analytics.

Key Responsibilities

• Design and develop enterprise data platform solutions.
• Build and maintain scalable, production-grade data pipelines and transformation processes.
• Develop dimensional data models to support reporting and analytics requirements.
• Manage and optimise Snowflake environments for performance and cost efficiency.
• Create and maintain data ingestion pipelines using Azure Data Factory (ADF).
• Implement data governance, security controls, and access management policies.
• Contribute to data engineering standards, best practices, and CI/CD processes.
• Collaborate with technical and non-technical stakeholders to deliver business-focused data solutions.

Skills & Experience

• Strong experience in data engineering, data architecture, and data modelling.
• Hands‑on expertise with Snowflake, including administration and performance optimisation.
• Experience using Azure Data Factory (ADF) for orchestration and data integration.
• Solid understanding of data warehousing and dimensional modelling principles.
• Experience creating enterprise data models, data dictionaries, and taxonomies.
• Ability to communicate complex technical concepts to business stakeholders.
• Experience within professional services or legal services environments would be advantageous.