Data Engineer
Core
Design, build, and optimize data pipelines and integration solutions to support B2B marketing analytics and client data onboarding.
Role type
Data Engineer (Azure/Microsoft Fabric)
Builds
ETL/ELT pipelines, data models, and ingestion workflows for marketing analytics platforms.
Domain
B2B Marketing Technology / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
SQL (T-SQL), Azure Data Factory, Microsoft Fabric, Azure Databricks, PySpark, Python, Azure Storage, Azure Data Lake Storage, SSIS migration
Preferred skills
Power BI, Customer Data Platforms (CDP), AWS or GCP, legacy on-prem modernization
Technologies
Azure Data Factory, Microsoft Fabric, Azure Databricks, PySpark, SQL Server, Azure Storage, Azure Data Lake Storage, SSIS
Responsibilities
Design and develop scalable data integration solutions; Build and optimize ETL/ELT pipelines; Develop data transformation logic in notebooks; Implement data validation, monitoring, and alerting; Support client onboarding with data ingestion workflows; Troubleshoot pipeline performance and reliability issues.
Seniority
Mid-level (3+ years experience)
