Data Engineer

Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world’s largest building materials companies, handling overseas dry‑bulk product exports and imports across global markets.

We are looking for a talented individual to join our IT Team in our Dubai Office as:

This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, ships, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric–oriented environment while proposing justified alternatives when needed.‑first

cloud data platform. You will work directly with IT and business stakeholders to connect our front‑office (Salesforce) and back‑office (JD Edwards ERP) systems into a unified analytics layer powering business‑critical Power BI dashboards. The role requires a hands‑on technical developer who builds, ships, and owns data pipelines end‑to‑end, and can operate pragmatically within a Microsoft Fabric–oriented environment while proposing justified alternatives when needed.

• Lead the migration of reporting from Qlik Sense 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‑engineer manual Excel‑based workflows and translate them into automated SQL or Python‑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 guides, and best practice materials supporting wider adoption.
• 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.

• 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.