Data Engineer
Core
Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, AI/ML, and business intelligence for BankX's digital banking platform.
Role type
Senior Data Engineer
Builds
Scalable batch and real-time data pipelines, Lakehouse architecture (Azure Data Services, Databricks, Delta Lake)
Domain
Financial Services / Banking
Deliverable
production ML models
Required skills
SQL, Python, ETL/ELT workflow design, distributed data systems, data modeling, data governance, data quality, pipeline monitoring (via careerplan.io/jobs/7952913-data-engineer-at-capco)
Preferred skills
Streaming technologies (Apache Kafka, Azure Event Hubs), CI/CD, infrastructure-as-code, metadata management (Unity Catalog, Azure Purview), Agile/Scrum
Technologies
Azure Data Services, Databricks, Delta Lake, Apache Kafka, Azure Event Hubs, Unity Catalog, Azure Purview
Responsibilities
Design and develop scalable data pipelines for batch and real-time processing; Build and optimize ETL/ELT workflows; Ensure data quality, reliability, and availability; Collaborate with Data Architects on data models; Support data governance, metadata management, and lineage tracking; Monitor pipeline performance and troubleshoot production issues; Work with Data Scientists to deliver model-ready datasets
Seniority
Senior, hands-on IC
