Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
About the role
- Data Architect II designing and implementing data solutions for SAP and Microsoft Fabric integration at Sun Chemical. Leading modernization efforts in enterprise data ecosystems with advanced analytics.
Responsibilities
- Define high-level architecture that enables seamless integration of SAP and additional data sources into the Microsoft Fabric environment, ensuring robust data flow and interoperability.
- Design and manage Microsoft Fabric workspaces, establishing reliable and efficient connectivity across SAP, Azure, and Fabric components to support unified data access and advanced analytics capabilities.
- Leverage SAP BTP DataSphere and SAP Analytics Cloud (SAC) to create integrated analytics solutions.
- Implement data integration into Fabric Lakehouse, Warehouse, and Synapse Engineering.
- Design and build Azure Data Factory pipelines for data ingestion and transformation.
- Ensure data security and governance at storage and reporting layers.
- Oversee batch and incremental data loads, tuning performance to meet SLAs.
- Develop Power BI semantic layers and maintain Power BI reports, including paginated and interactive dashboards.
- Support the migration of Cognos solutions into Power BI.
- Provide expertise and guidance on SAP analytics roadmap (S/4HANA Embedded Analytics, SAP Datasphere, SAP Analytics Cloud).
- Lead pilot projects and migrations (e.g., Cognos to Power BI, SQL DW to Fabric OneLake).
Requirements
- Bachelor's degree in Computer Science or a related field required.
- 5 years of progressive IT experience, with a minimum of 2 years of hands-on experience with Microsoft Fabric (Workspace, Lakehouse, Warehouse, and Data Engineering).
- Proven expertise architecting solutions with SAP (ECC and S/4HANA), Microsoft Fabric, and Power BI, including a strong understanding of SAP data structures, business processes, and their integration within enterprise analytics platforms.
- Strong proficiency in Azure Data Factory, Synapse, and cloud data services.
- Expert-level skills in data modelling, ETL processes, and semantic layer design.
- Advanced programming capabilities in SQL (T-SQL/Spark SQL), Python, and PySpark.
- Hands-on experience with Power BI (Desktop and Service), DAX, Power Query, and performance tuning.
- Hands-on experience with Azure Log Analytics, Microsoft Purview, and CI/CD pipelines via Azure DevOps.
- Solid understanding of data governance, security, and compliance within enterprise environments.
Benefits
- merit increases
- paid holidays
- Paid Time Off
- medical
- dental
- vision
- short and long term disability benefits
- 401(k)+match
- life insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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