Senior Engineer, Data Engineering
Core
Design, develop, and maintain scalable enterprise data pipelines, ETL/ELT processes, and cloud-based data platforms to support reporting, analytics, and downstream applications.
Role type
Senior Data Engineer (Financial Services)
Builds
Enterprise-scale data pipelines, curated data layers, and cloud data solutions on Azure Databricks
Domain
Financial services / Asset management / Data Engineering
Required skills
Azure Databricks, PySpark, Delta Lake, Python, SQL, Azure Data Factory, ETL/ELT, Data Modeling, CI/CD, Infrastructure-as-Code (Terraform), GitHub Actions, Azure DevOps, Data Governance, Unity Catalog
Preferred skills
Experience in financial services, asset management, or accounting; Domain-specific transformation and reconciliation expertise
Technologies
Azure Databricks, PySpark, Delta Lake, Python, SQL, Azure Data Factory, Terraform, GitHub Actions, Azure DevOps, Unity Catalog
Responsibilities
Develop and maintain scalable data pipelines and ETL/ELT processes; Support ingestion of structured and unstructured data; Build and optimize cloud-based data solutions; Partner with business teams to understand reporting and analytics requirements; Monitor data quality, performance, and reliability; Contribute to data governance and documentation; Participate in code reviews and engineering best practices
Seniority
Senior, hands-on IC