About the Role
As a Data Engineer within the Enterprise IT Applications team, you will advance our data-driven strategy by designing, developing, and optimising scalable data solutions. Working with stakeholders across multiple teams and geographies, you will enable reliable reporting, analytics, and informed business decision-making.
You will maintain and evolve our centralised data warehouse, build robust ETL pipelines, and ensure data quality, security, and governance across our data ecosystem. This hands-on role suits someone who enjoys solving complex data challenges, driving continuous improvement, and translating business requirements into effective technical solutions.
Main Responsibilities
- Design, develop, and maintain scalable data warehouse solutions, ETL pipelines, and data models
- Extract, transform, and integrate data from multiple source systems with business logic and validation rules
- Develop and automate data processes, reports, and dashboards for business intelligence initiatives
- Monitor, analyse, and resolve data quality issues to ensure accuracy, consistency, and compliance
- Partner with business and technical stakeholders to understand requirements and deliver impactful solutions
- Identify opportunities to improve data collection, integration, and reporting processes
Required Skills & Expertise
- Proven experience designing and delivering data warehouse solutions
- Strong expertise in SQL, ETL processes, and data modelling
- Experience with cloud-based data platforms and building robust data pipelines
- Knowledge of data quality, governance, and security standards
- Experience in ERP environments, data migrations, and system integrations
- Strong communication skills and attention to detail
Desirable Skills
- Hands-on experience with Azure Data Factory (ADF)
- Strong SQL and data modelling skills with Azure Synapse Analytics
- Familiarity with Azure data ecosystem: Data Lake Storage, Azure Functions, and Microsoft Purview
Mise en forme par Postule ·
Signaler un problème