Lead Data Engineer

About the Role

We’re working with a market-leading organisation that’s undergoing a major transformation, moving from manual, Excel-based reporting to a fully automated, intelligence-driven data ecosystem.

As Data Architect, you’ll be responsible for designing and implementing the Azure-based data platform that becomes the single source of truth across the business. This is a hands-on, strategic role where you’ll build scalable, governed data architecture and shape how data is used across Finance, Operations, and Commercial functions.

What You’ll Be Doing

Data Architecture & Platform Design

• Design and implement an enterprise data lake on Azure Data Lake Gen2, using Bronze/Silver/Gold architecture.

• Build and maintain scalable ETL/ELT pipelines in Azure Data Factory to integrate data from core systems (AS400, Tagetik, CRM, Esker, Slimstock).

• Develop the overall data model, data dictionaries, and lineage documentation.

• Deliver a stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration.

Data Governance & Quality

• Implement the technical foundation for data governance – quality checks, metadata management, and master data validation.

• Embed business rules and validation logic directly within data pipelines.

• Define and manage data security and access controls (Azure and Power BI row-level security).

Implementation & Optimisation

• Lead the hands-on build, testing, and deployment of the Azure data platform.

• Monitor platform performance and optimise pipelines for cost, scalability, and speed.

• Define and document technical standards and best practices.

• Oversee the migration from legacy tools (Domo, Vecta) to the new Power BI ecosystem.

What You’ll Bring

Technical Skills

• Strong hands-on experience with Azure Data Lake Gen2, Azure Data Factory, and Azure Active Directory.

• Advanced skills in data modelling (conceptual, logical, physical) and SQL for complex transformations.

• Proven ability to design and build high-performance ETL/ELT pipelines.

• Understanding of data governance, security, and access control frameworks.

• Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs.

• Familiarity with Databricks and/or Microsoft Fabric is a bonus.

Experience

• 3+ years in a Data Architect or senior data engineering role.

• Proven record of designing and delivering cloud-based data platforms, ideally in Azure.

• Background working with complex ERP or transactional systems.

• Experience supporting or leading data transformation initiatives within a business setting.