Overview

We’re looking for an experienced Data Engineer to join a high-performing Agile delivery team, supporting the development and enhancement of a Strategic Data Platform. This role is ideal for someone with strong Azure expertise and a track record of delivering scalable, secure, and modern data solutions in complex environments.

• Must have SC-Clearance

Responsibilities

• Design and build data pipelines using Azure Data Factory and Azure Synapse
• Develop and maintain dimension and semantic data models for Power BI
• Automate workflows and integrate solutions into Azure DevOps pipelines
• Apply dbt for SQL-based data transformation and modelling
• Migrate legacy systems to modern Azure-based platforms
• Implement data governance, quality checks, and profiling
• Collaborate with stakeholders to translate business needs into technical solutions
• Coach and mentor team members on data engineering best practices
• Active SC clearance (must be valid at time of application)
• Proven experience with:
• • Power BI (including semantic models)
  • Python (incl. PySpark) and advanced SQL
  • Terraform for infrastructure-as-code
• Agile delivery in complex environments
• Azure certifications (Data Engineering, Data Scientist, or similar)
• Knowledge of GDPR, data security, and governance best practices

Skills & Qualifications

• Power BI with semantic models
• Python (incl. PySpark) and advanced SQL
• Terraform for infrastructure-as-code
• Azure Data Factory and Azure Synapse
• dbt and data modelling
• GDPR, data security and governance
• Azure certifications (Data Engineering, Data Scientist, or similar)

Seniority

• Mid-Senior level

Employment Type

• Contract

Job Function & Industries

• Industries: IT Services and IT Consulting, Software Development, and Engineering Services