Senior Full Stack - Azure Synapse/Fabric Engineer & Power BI Developer

The scope is to support the implementation of reporting solutions for our ERP system (D365) “Data analysis and visualization project” as part of the ERP implementation program. 

Technical context

• As a part of the ERP program implementation team, the Full Stack Data & Analytics Developers will be responsible for the implementation of data visualizations based on the business requirements collected for each business function (Human Resources, Finance, Logistics, Resource mobilization, Project management).
• The Full Stack Data & Analytics Developers will implement the solution based on agreed architecture guidelines.
• The Company Data Platform is based on Microsoft Fabric and Synapse using Data Vault and Dimensional modeling techniques for consumption in Power BI. The Full Stack Data & Analytics Developer will be responsible for the end-to-end development of reports including data modelling, data engineering, and Power BI report development.

Scope of the current request

• Deliver Power BI report solution while enabling all the required elements starting from business requirement document, enable data in Company Data Platform, create Power BI reports (including paginated reports, using Git), respond to user feedback and deploy to production

Profile specificities

• Independent and pro-active problem solving, self-starter
• Can easily engage and interact with business and other developers.
• 5+ years of progressively responsible postgraduate experience in data engineering with a focus on big data modelling and 3+ years in data engineering (Microsoft Fabric or Azure Synapse) and report development (Power BI).
• Proven track record as a Data Engineer or similar role, and in Power BI development, including Paginated or SSRS reports.
• Experience in Data Lake and Data Lakehouse implementation (e.g., Microsoft Fabric, Azure Synapse, Databricks, Snowflake, Microsoft SQL Server, Apache Spark/Hadoop, or other similar big data or SQL databases).
• Experience in Data Vault and dimensional data modeling techniques
• Proficiency in programming languages such as Python, SQL, or Java.
• Proficiency in the Apache Spark framework.
• Experience in data governance, architecture and handling large datasets and data pipelines.
• Experience in data products development, business value case development, data product deployment is preferred.

Working language is English.