Senior Data Engineer

The Senior Data Engineer will lead the design, implementation, and support of enterprise data and analytics solutions across functions. This role is responsible for developing scalable Azure-based data platforms, integrating enterprise applications, enabling business reporting, and driving data modernisation initiatives. The successful candidate will combine hands-on technical expertise with solution architecture leadership and partner closely with business stakeholders to deliver trusted, scalable, and business-critical analytics solutions.

Responsibilities:

• Design, build, and maintain enterprise data platforms using Azure technologies.
• Develop and optimise Azure Data Factory (ADF) pipelines, Databricks workloads, and cloud data integrations.
• Establish scalable data models and integration patterns.
• Drive data quality, governance, security, and operational excellence.
• Lead architecture reviews and technical solution design activities.
• Ensure data accuracy, lineage, and governance.
• Build and support reporting datasets and dashboards.
• Enable integration strategies for Salesforce, SAP and Workday

Requirements:

• 5+ years of experience in Data Engineering, Data Architecture, Analytics, or Business Intelligence.
• 3+ years of experience with Azure cloud data technologies.
• Proven experience leading enterprise-scale integration projects.
• Strong experience working with multiple business functions including HR, Finance, Compliance, Operations, and Commercial teams.
• Experience managing solution lifecycle from requirements gathering through production support.
• Strong stakeholder management and communication skills.
• Ability to translate business requirements into technical solutions.
• Experience leading technical discussions with architects, engineers, and business leaders.
• Strong problem-solving and analytical skills.
• Ability to balance strategic architecture responsibilities with hands-on execution.