Data Engineer

Overview

About the Role

Key Responsibilities

• Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
• Design, build, and maintain scalable Azure SQL–based data pipelines to support analytics, reporting, and operational decision making.
• Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
• Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
• Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
• Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
• Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
• Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
• Contribute to data governance, security standards, and consistent documentation practices.
• Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
• Strong SQL skills with experience working on relational databases and transformation logic.
• Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
• Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
• Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
• Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
• Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
• Strong communication skills with the ability to translate technical detail into clear business language.
• Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
• Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
• Experience in trading, logistics, or supply chain environments is beneficial.
• Familiarity with Azure‑based cloud data architectures is preferred.
• We thank all applicants for their interest, but only shortlisted candidates will be contacted.
• All applications will be kept strictly confidential.