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As a Data Engineer within our Enterprise IT Applications team, you will play a key role in advancing our data-driven strategy. Working closely with stakeholders across multiple teams and geographies, you will design, develop, and optimise scalable data solutions that enable reliable reporting, analytics, and business decision-making. You will be responsible for maintaining and evolving our centralised data warehouse, building robust ETL pipelines, and ensuring data quality, security, and governance across our data ecosystem. This is a hands-on role suited to someone who enjoys solving complex data challenges, driving continuous improvement, and turning business requirements into effective technical solutions.
Job Responsibility
Design, develop, and maintain scalable data warehouse solutions, ETL pipelines, and data models
Extract, transform, and integrate data from multiple source systems while applying business logic and validation rules
Develop and automate data processes, reports, and dashboards to support business intelligence initiatives
Partner with business and technical stakeholders to understand requirements and deliver impactful data solutions
Monitor, analyse, and resolve data quality issues, ensuring accuracy, consistency, and compliance
Identify opportunities to improve data collection, integration, and reporting processes
Collaborate with reporting and analytics teams to ensure efficient and reliable data delivery
Lead data-focused projects and manage priorities effectively across multiple initiatives.
Requirements
Proven experience in designing and delivering data warehouse solutions
strong expertise in SQL, ETL processes, data modelling, and cloud-based data platforms
confident building and maintaining robust data pipelines
ensuring data quality, governance, and security standards
experience collaborating with business and technical stakeholders
translating requirements into effective data solutions
experience within ERP environments, data migrations, and system integrations
strong communication skills
attention to detail
proactive approach to problem-solving.
Nice to have
Hands-on experience with Azure Data Factory (ADF)
Strong SQL and data modelling skills, ideally with Azure Synapse Analytics
Familiarity with the Azure data ecosystem, including Data Lake Storage, Azure Functions, and Microsoft Purview.