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Senior Data Engineer
Blue Orange DigitalSenior Data Engineer designing and building data ingestion and transformation pipelines for a consultancy specializing in data solutions. Collaborating on enterprise-level projects with a focus on Microsoft technologies.
Tech Stack
Tools & technologiesAzureERPPySparkSQL
About the role
Key responsibilities & impact- Design and implement Bronze-layer ingestion pipelines from regional ERP systems, CTRM instances (including Irely), and SAP S/4HANA source feeds into OneLake using Microsoft Fabric Data Factory.
- Build Silver-layer transformation logic in Fabric notebooks using PySpark and SQL against Delta Lake tables, covering data cleansing, standardization, deduplication, and business rule application.
- Develop Gold-layer data product tables serving Trader P&L, Global Position, VaR risk metrics, and Financial Consolidation reporting domains.
- Implement and maintain the OneLake medallion architecture following BOD design standards and engagement coding conventions.
- Perform schema design, data modeling, and query performance optimization across Fabric Lakehouse and Warehouse layers.
- Collaborate with the Analytics/Power BI Specialist to publish clean, analytics-ready Gold-layer outputs aligned to semantic model requirements.
- Participate in code reviews, enforce development standards, and contribute to CI/CD pipeline configuration for the Fabric workspace.
- Work with client-side Fabric/Azure data engineers as a technical peer—aligning on ingestion patterns, shared schemas, and pipeline governance.
Requirements
What you’ll need- 7+ years of data engineering experience with a strong portfolio of end-to-end pipeline implementations.
- Hands-on proficiency with Microsoft Fabric (OneLake, Lakehouse, Notebooks, Data Factory, Warehouse)—the full core stack for this engagement.
- Strong SQL and PySpark skills with production-level experience building and maintaining Delta Lake pipelines.
- Experience building multi-hop pipelines across Bronze/Silver/Gold medallion architectures.
- Familiarity with ERP or CTRM source system integration (SAP S/4HANA or similar strongly preferred).
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
data engineeringpipeline implementationSQLPySparkdata cleansingdata modelingquery performance optimizationschema designCI/CD pipeline configurationdata transformation